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Wyszukujesz frazę ""Neural Networks, Computer"" wg kryterium: Temat

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Wyświetlanie 1-20 z 29895
Tytuł:
Modelling daily plant growth response to environmental conditions in Chinese solar greenhouse using Bayesian neural network.
Autorzy:
Mohmed G; School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst Campus, Nottingham, NG25 0QF, UK. .; Department of Computer Science, Nottingham Trent University, Clifton Campus, Nottingham, NG11 8NS, UK. .
Heynes X; School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst Campus, Nottingham, NG25 0QF, UK.
Naser A; Department of Computer Science, Nottingham Trent University, Clifton Campus, Nottingham, NG11 8NS, UK.
Sun W; School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst Campus, Nottingham, NG25 0QF, UK.; Intelligent Equipment Research Centre, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097.3, China.
Hardy K; School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst Campus, Nottingham, NG25 0QF, UK.
Grundy S; School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst Campus, Nottingham, NG25 0QF, UK.
Lu C; School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst Campus, Nottingham, NG25 0QF, UK. .
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Źródło:
Scientific reports [Sci Rep] 2023 Mar 16; Vol. 13 (1), pp. 4379. Date of Electronic Publication: 2023 Mar 16.
Typ publikacji:
Journal Article
MeSH Terms:
Neural Networks, Computer*
Plant Development*
Bayes Theorem ; Sunlight ; Temperature
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Neural learning rules for generating flexible predictions and computing the successor representation.
Autorzy:
Fang C; Zuckerman Institute, Department of Neuroscience, Columbia University, New York, United States.
Aronov D; Zuckerman Institute, Department of Neuroscience, Columbia University, New York, United States.
Abbott LF; Zuckerman Institute, Department of Neuroscience, Columbia University, New York, United States.
Mackevicius EL; Zuckerman Institute, Department of Neuroscience, Columbia University, New York, United States.; Basis Research Institute, New York, United States.
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Źródło:
ELife [Elife] 2023 Mar 16; Vol. 12. Date of Electronic Publication: 2023 Mar 16.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Learning*
Neural Networks, Computer*
Hippocampus ; Reinforcement, Psychology ; Algorithms
Czasopismo naukowe
Szczegóły
Tytuł:
NeuroAI: If grid cells are the answer, is path integration the question?
Autorzy:
Frey M; École Polytechnique Fédérale de Lausanne (EPFL), Brain Mind Institute & Neuro-X Institute, Geneva, Switzerland. Electronic address: .
Mathis MW; École Polytechnique Fédérale de Lausanne (EPFL), Brain Mind Institute & Neuro-X Institute, Geneva, Switzerland. Electronic address: .
Mathis A; École Polytechnique Fédérale de Lausanne (EPFL), Brain Mind Institute & Neuro-X Institute, Geneva, Switzerland. Electronic address: .
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Źródło:
Current biology : CB [Curr Biol] 2023 Mar 13; Vol. 33 (5), pp. R190-R192.
Typ publikacji:
Journal Article; Comment
MeSH Terms:
Entorhinal Cortex*/physiology
Neural Networks, Computer*
Neurons/physiology ; Cognition ; Learning ; Models, Neurological ; Space Perception/physiology ; Action Potentials/physiology
Czasopismo naukowe
Szczegóły
Tytuł:
Optimization Algorithm of Moving Object Detection Using Multiscale Pyramid Convolutional Neural Networks.
Autorzy:
Yang Z; School of Computer Science and Technology, Soochow University, Suzhou 215006, China.; Provincial Key Laboratory for Computer Information Processing Technology, Suzhou 215006, China.
Bu Z; School of Computer Science and Technology, Soochow University, Suzhou 215006, China.; Provincial Key Laboratory for Computer Information Processing Technology, Suzhou 215006, China.
Pan Y; School of Computer Science and Technology, Soochow University, Suzhou 215006, China.; Provincial Key Laboratory for Computer Information Processing Technology, Suzhou 215006, China.
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Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2023 Mar 10; Vol. 2023, pp. 3320547. Date of Electronic Publication: 2023 Mar 10 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Neural Networks, Computer*
Learning ; Recognition, Psychology ; Semantics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A deep graph convolutional neural network architecture for graph classification.
Autorzy:
Zhou Y; School of Information Network Security, People's Public Security University of China, Beijing, China.
Huo H; School of Information Network Security, People's Public Security University of China, Beijing, China.
Hou Z; School of Information Network Security, People's Public Security University of China, Beijing, China.
Bu F; School of Information Network Security, People's Public Security University of China, Beijing, China.
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Źródło:
PloS one [PLoS One] 2023 Mar 10; Vol. 18 (3), pp. e0279604. Date of Electronic Publication: 2023 Mar 10 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Benchmarking*
Neural Networks, Computer*
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Determination of monophenolase activity based on backpropagation neural network analysis of three-dimensional fluorescence spectroscopy.
Autorzy:
Tang W; Department of Pharmaceutical and Biological Engineering, School of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Zhang L; Department of Pharmaceutical and Biological Engineering, School of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Chen Q; Department of Pharmaceutical and Biological Engineering, School of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Han M; Department of Pharmaceutical and Biological Engineering, School of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Chen C; Department of Pharmaceutical and Biological Engineering, School of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Liu W; Department of Pharmaceutical and Biological Engineering, School of Chemical Engineering, Sichuan University, Chengdu 610065, China. Electronic address: .
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Źródło:
Journal of biotechnology [J Biotechnol] 2023 Mar 10; Vol. 365, pp. 11-19. Date of Electronic Publication: 2023 Feb 10.
Typ publikacji:
Journal Article
MeSH Terms:
Monophenol Monooxygenase*
Neural Networks, Computer*
Spectrometry, Fluorescence ; Tyrosine
Czasopismo naukowe
Szczegóły
Tytuł:
Object Detection Based on Swin Deformable Transformer-BiPAFPN-YOLOX.
Autorzy:
Shi P; School of Mechanical Engineering, Anhui Polytechnic University, Wuhu 241000, China.
Chen X; School of Mechanical Engineering, Anhui Polytechnic University, Wuhu 241000, China.
Qi H; School of Mechanical Engineering, Anhui Polytechnic University, Wuhu 241000, China.
Zhang C; School of Mechanical Engineering, Anhui Polytechnic University, Wuhu 241000, China.
Liu Z; School of Mechanical Engineering, Anhui Polytechnic University, Wuhu 241000, China.
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Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2023 Mar 09; Vol. 2023, pp. 4228610. Date of Electronic Publication: 2023 Mar 09 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Electric Power Supplies*
Neural Networks, Computer*
Humans ; Technology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Not getting in too deep: A practical deep learning approach to routine crystallisation image classification.
Autorzy:
Milne J; Department of Mathematics, University of York, York, United Kingdom.; AstraZeneca, Cambridge, United Kingdom.
Qian C; AstraZeneca, Cambridge, United Kingdom.
Hargreaves D; AstraZeneca, Cambridge, United Kingdom.
Wang Y; AstraZeneca, Cambridge, United Kingdom.
Wilson J; Department of Mathematics, University of York, York, United Kingdom.
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Źródło:
PloS one [PLoS One] 2023 Mar 09; Vol. 18 (3), pp. e0282562. Date of Electronic Publication: 2023 Mar 09 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Neural Networks, Computer*
Deep Learning*
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Non-invasive regional cerebral blood flow quantification in the 123I-IMP autoradiography using artificial neural network.
Autorzy:
Kaga T; Department of Radiology, Gifu University, Gifu, Japan.
Kato H; Department of Radiology, Gifu University, Gifu, Japan.
Imai T; Department of Radiology Services, Gifu University Hospital, Gifu, Japan.
Ando T; Department of Radiology, Gifu University, Gifu, Japan.
Noda Y; Department of Radiology, Gifu University, Gifu, Japan.
Miura T; Department of Radiology Services, Gifu University Hospital, Gifu, Japan.
Enomoto Y; Department of Neurosurgery, Gifu University Graduate School of Medicine, Gifu, Japan.
Hyodo F; Department of Radiology, Frontier Science for Imaging, Gifu University, Gifu, Japan.
Iwama T; Department of Neurosurgery, Gifu University Graduate School of Medicine, Gifu, Japan.
Matsuo M; Department of Radiology, Gifu University, Gifu, Japan.
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Źródło:
PloS one [PLoS One] 2023 Mar 08; Vol. 18 (3), pp. e0281958. Date of Electronic Publication: 2023 Mar 08 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Tomography, Emission-Computed, Single-Photon*/methods
Neural Networks, Computer*
Humans ; Autoradiography ; Iofetamine ; Retrospective Studies ; Cerebrovascular Circulation ; Brain/diagnostic imaging ; Brain/blood supply ; Amphetamines ; Regional Blood Flow
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
An artificial neural network model to predict structure-based protein-protein free energy of binding from Rosetta-calculated properties.
Autorzy:
Ferraz MVF; Department of Virology, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, FIOCRUZ, Recife, PE, Brazil.; Department of Fundamental Chemistry, Federal University of Pernambuco, UFPE, Recife, PE, Brazil.; Heidelberg Institute for Theoretical Studies, HITS, Heidelberg, Germany.
Neto JCS; Recife Center for Advanced Studies and Systems, CESAR, Recife, PE, Brazil. .
Lins RD; Department of Virology, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, FIOCRUZ, Recife, PE, Brazil.; Department of Fundamental Chemistry, Federal University of Pernambuco, UFPE, Recife, PE, Brazil.
Teixeira ES; Recife Center for Advanced Studies and Systems, CESAR, Recife, PE, Brazil. .
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Źródło:
Physical chemistry chemical physics : PCCP [Phys Chem Chem Phys] 2023 Mar 08; Vol. 25 (10), pp. 7257-7267. Date of Electronic Publication: 2023 Mar 08.
Typ publikacji:
Journal Article
MeSH Terms:
Proteins*/chemistry
Neural Networks, Computer*
Thermodynamics ; Entropy ; Protein Binding
Czasopismo naukowe
Szczegóły
Tytuł:
EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation.
Autorzy:
Pan S; The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China.
Liu X; The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China.
Xie N; The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China.
Chong Y; The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China. .
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2023 Mar 07; Vol. 24 (1), pp. 85. Date of Electronic Publication: 2023 Mar 07.
Typ publikacji:
Journal Article
MeSH Terms:
Electric Power Supplies*
Neural Networks, Computer*
Semantics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts.
Autorzy:
Stoewer P; Cognitive Computational Neuroscience Group, University Erlangen-Nuremberg, Erlangen, Germany.; Pattern Recognition Lab, University Erlangen-Nuremberg, Erlangen, Germany.
Schilling A; Cognitive Computational Neuroscience Group, University Erlangen-Nuremberg, Erlangen, Germany.; Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany.
Maier A; Pattern Recognition Lab, University Erlangen-Nuremberg, Erlangen, Germany.
Krauss P; Cognitive Computational Neuroscience Group, University Erlangen-Nuremberg, Erlangen, Germany. .; Pattern Recognition Lab, University Erlangen-Nuremberg, Erlangen, Germany. .; Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany. .; Linguistics Lab, University Erlangen-Nuremberg, Erlangen, Germany. .
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Źródło:
Scientific reports [Sci Rep] 2023 Mar 04; Vol. 13 (1), pp. 3644. Date of Electronic Publication: 2023 Mar 04.
Typ publikacji:
Journal Article
MeSH Terms:
Semantics*
Neural Networks, Computer*
Animals ; Artificial Intelligence ; Behavior Therapy ; Cognition ; Mammals
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Formulation and Characterization of Buccal Films Containing Valsartan with Additional Support from Image Analysis.
Autorzy:
Grilc B; Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000, Ljubljana, Slovenia. .
Felicijan T; Department of Biopharmaceutics and Pharmacokinetics, Faculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000, Ljubljana, Slovenia.
Parfant TP; Department of Biopharmaceutics and Pharmacokinetics, Faculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000, Ljubljana, Slovenia.
Planinšek O; Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000, Ljubljana, Slovenia.
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Źródło:
AAPS PharmSciTech [AAPS PharmSciTech] 2023 Mar 03; Vol. 24 (3), pp. 72. Date of Electronic Publication: 2023 Mar 03.
Typ publikacji:
Journal Article
MeSH Terms:
Image Processing, Computer-Assisted*
Neural Networks, Computer*
Research Design ; Valsartan ; Water
Czasopismo naukowe
Szczegóły
Tytuł:
Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique.
Autorzy:
Malik NUR; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
Sheikh UU; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
Abu-Bakar SAR; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
Channa A; Computer Science Department, University Politehnica of Bucharest, 060042 Bucharest, Romania.; Department of Information Engineering, Infrastructure and Sustainable Energy, Mediterranea University of Reggio Calabria, 89100 Reggio Calabria, Italy.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Mar 02; Vol. 23 (5). Date of Electronic Publication: 2023 Mar 02.
Typ publikacji:
Journal Article
MeSH Terms:
Pattern Recognition, Automated*/methods
Neural Networks, Computer*
Humans ; Algorithms ; Memory, Long-Term ; Human Activities ; Skeleton
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Devising a deep neural network based mammography phantom image filtering algorithm using images obtained under mAs and kVp control.
Autorzy:
Park SS; Deargen Inc., Daejeon, 34051, Republic of Korea.
Ku YM; Department of Radiology, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seo KJ; Department of Hospital Pathology, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Whang IY; Department of Radiology, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. .
Hwang YS; Department of Radiology, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kim MJ; Department of Radiology, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jung NY; Department of Radiology, Uijeongbu Eulji Medical Center, College of Medicine, Eulji University, Uijeongbu, Gyeonggi-do, Republic of Korea.
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Źródło:
Scientific reports [Sci Rep] 2023 Mar 02; Vol. 13 (1), pp. 3545. Date of Electronic Publication: 2023 Mar 02.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Neural Networks, Computer*
Humans ; Mammography ; Phantoms, Imaging ; ROC Curve
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Decoding behavior from global cerebrovascular activity using neural networks.
Autorzy:
Berthon B; Physics for Medicine Institute, INSERM U1273, CNRS UMR 8063, ESPCI Paris, PSL Research University, Paris, France. .
Bergel A; Physics for Medicine Institute, INSERM U1273, CNRS UMR 8063, ESPCI Paris, PSL Research University, Paris, France.
Matei M; Physics for Medicine Institute, INSERM U1273, CNRS UMR 8063, ESPCI Paris, PSL Research University, Paris, France.
Tanter M; Physics for Medicine Institute, INSERM U1273, CNRS UMR 8063, ESPCI Paris, PSL Research University, Paris, France.
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Źródło:
Scientific reports [Sci Rep] 2023 Mar 02; Vol. 13 (1), pp. 3541. Date of Electronic Publication: 2023 Mar 02.
Typ publikacji:
Journal Article
MeSH Terms:
Brain*/diagnostic imaging
Neural Networks, Computer*
Animals ; Rats ; Learning ; Sleep
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
IPC prediction of patent documents using neural network with attention for hierarchical structure.
Autorzy:
Hoshino Y; Tokyo Institute of Technology, Meguro City, Tokyo, Japan.
Utsumi Y; Rakuten Group, Inc., Setagaya City, Tokyo, Japan.
Matsuda Y; Rakuten Group, Inc., Setagaya City, Tokyo, Japan.
Tanaka Y; Tokyo Institute of Technology, Meguro City, Tokyo, Japan.
Nakata K; Tokyo Institute of Technology, Meguro City, Tokyo, Japan.
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Źródło:
PloS one [PLoS One] 2023 Mar 02; Vol. 18 (3), pp. e0282361. Date of Electronic Publication: 2023 Mar 02 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Neural Networks, Computer*
Machine Learning*
Attention
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Geometric Interaction Graph Neural Network for Predicting Protein-Ligand Binding Affinities from 3D Structures (GIGN).
Autorzy:
Yang Z; Intelligent Medical Research Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, Guangdong 510275, China.
Zhong W; Intelligent Medical Research Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, Guangdong 510275, China.
Lv Q; Intelligent Medical Research Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, Guangdong 510275, China.
Dong T; Intelligent Medical Research Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, Guangdong 510275, China.
Yu-Chian Chen C; Intelligent Medical Research Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, Guangdong 510275, China.; Department of Medical Research, China Medical University Hospital, Taichung 40447, Taiwan.; Department of Bioinformatics and Medical Engineering, Asia University, Taichung 41354, Taiwan.
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Źródło:
The journal of physical chemistry letters [J Phys Chem Lett] 2023 Mar 02; Vol. 14 (8), pp. 2020-2033. Date of Electronic Publication: 2023 Feb 16.
Typ publikacji:
Journal Article
MeSH Terms:
Neural Networks, Computer*
Proteins*/chemistry
Ligands ; Protein Binding ; Machine Learning
Czasopismo naukowe
Szczegóły
Tytuł:
HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism.
Autorzy:
Qiao B; Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng 475000, China.
Xu B; Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng 475000, China.
Xie Y; Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng 475000, China.
Lin Y; Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng 475000, China.
Liu Y; Henan Engineering Laboratory of Spatial Information Processing, Henan University, Kaifeng 475000, China.
Zuo X; Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng 475000, China.
Pokaż więcej
Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2023 Mar 01; Vol. 2023, pp. 4725986. Date of Electronic Publication: 2023 Mar 01 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Electric Power Supplies*
Neural Networks, Computer*
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Attention Mask R-CNN with edge refinement algorithm for identifying circulating genetically abnormal cells.
Autorzy:
Xu X; China Academy of Information and Communications Technology, Beijing, China.
Li C; China Academy of Information and Communications Technology, Beijing, China.
Fan X; Zhuhai Sanmed Biotech Ltd, Zhuhai, Guangdong, China.
Lan X; Zhuhai Sanmed Biotech Ltd, Zhuhai, Guangdong, China.
Lu X; Zhuhai Sanmed Biotech Ltd, Zhuhai, Guangdong, China.
Ye X; Zhuhai Sanmed Biotech Ltd, Zhuhai, Guangdong, China.
Wu T; China Academy of Information and Communications Technology, Beijing, China.
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Źródło:
Cytometry. Part A : the journal of the International Society for Analytical Cytology [Cytometry A] 2023 Mar; Vol. 103 (3), pp. 227-239. Date of Electronic Publication: 2022 Aug 15.
Typ publikacji:
Journal Article
MeSH Terms:
Neural Networks, Computer*
Lung Neoplasms*/pathology
Humans ; In Situ Hybridization, Fluorescence/methods ; Algorithms ; Cell Nucleus/pathology
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 29895

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