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Tytuł:
Uncertainty-aware physics-driven deep learning network for free-breathing liver fat and R 2 * quantification using self-gated stack-of-radial MRI.
Autorzy:
Shih SF; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Department of Bioengineering, University of California Los Angeles, Los Angeles, California, USA.
Kafali SG; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Department of Bioengineering, University of California Los Angeles, Los Angeles, California, USA.
Calkins KL; Department of Pediatrics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Wu HH; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Department of Bioengineering, University of California Los Angeles, Los Angeles, California, USA.
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Źródło:
Magnetic resonance in medicine [Magn Reson Med] 2023 Apr; Vol. 89 (4), pp. 1567-1585. Date of Electronic Publication: 2022 Nov 25.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Deep Learning*
Humans ; Uncertainty ; Image Interpretation, Computer-Assisted/methods ; Liver/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Protons
Czasopismo naukowe
Szczegóły
Tytuł:
Detecting representative characteristics of different genders using intraoral photographs: a deep learning model with interpretation of gradient-weighted class activation mapping.
Autorzy:
Zhou Y; State Key Laboratory of Oral Diseases, National Center of Stomatology, West China Hospital of Stomatology, National Clinical Research Center for Oral Diseases, Sichuan University, 14#, 3rd Section, Renmin South Road, Chengdu, 610041, China.
Jiang F; Chongqing University Three Gorges Hospital, Chongqing, 404031, China.
Cheng F; Chengdu Boltzmann Intelligence Technology Co., Ltd, Chengdu, China.
Li J; State Key Laboratory of Oral Diseases, National Center of Stomatology, West China Hospital of Stomatology, National Clinical Research Center for Oral Diseases, Sichuan University, 14#, 3rd Section, Renmin South Road, Chengdu, 610041, China. .
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Źródło:
BMC oral health [BMC Oral Health] 2023 May 25; Vol. 23 (1), pp. 327. Date of Electronic Publication: 2023 May 25.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Tooth*
Humans ; Male ; Female ; Neural Networks, Computer ; Photography, Dental ; Gingiva
Czasopismo naukowe
Szczegóły
Tytuł:
SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data.
Autorzy:
Zheng Y; School of Computer Science, Northwestern Polytechnical University, West Youyi Road 127, Xi'an, 710072, China. .
Shang X; School of Computer Science, Northwestern Polytechnical University, West Youyi Road 127, Xi'an, 710072, China. .
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2023 May 23; Vol. 24 (1), pp. 213. Date of Electronic Publication: 2023 May 23.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Biological Evolution
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Ocular images-based artificial intelligence on systemic diseases.
Autorzy:
Tan Y; Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Sun X; Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China. .
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Źródło:
Biomedical engineering online [Biomed Eng Online] 2023 May 19; Vol. 22 (1), pp. 49. Date of Electronic Publication: 2023 May 19.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Deep Learning*
Eye/diagnostic imaging ; Face ; Kidney
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma.
Autorzy:
Shah AA; Department of Computer Science, Bahria University, Islamabad 04408, Pakistan.
Alturise F; Department of Computer, College of Science and Arts in Ar Rass, Qassim University, Ar Rass 51921, Qassim, Saudi Arabia.
Alkhalifah T; Department of Computer, College of Science and Arts in Ar Rass, Qassim University, Ar Rass 51921, Qassim, Saudi Arabia.
Faisal A; Department of Computer Science, Bahria University, Lahore 54782, Pakistan.
Khan YD; Department of Computer Science, University of Management and Technology, Lahore 54782, Pakistan.
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Źródło:
Genes [Genes (Basel)] 2023 May 18; Vol. 14 (5). Date of Electronic Publication: 2023 May 18.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Cholangiocarcinoma*/diagnosis
Cholangiocarcinoma*/genetics
Cholangiocarcinoma*/pathology
Bile Duct Neoplasms*/diagnosis
Bile Duct Neoplasms*/genetics
Male ; Humans ; Female ; Early Detection of Cancer ; Bile Ducts, Intrahepatic/pathology
Czasopismo naukowe
Szczegóły
Tytuł:
A survey on automatic generation of medical imaging reports based on deep learning.
Autorzy:
Pang T; Center of Network and Information, Xinxiang Medical University, Xinxiang, 453000, China. .
Li P; Center of Network and Information, Xinxiang Medical University, Xinxiang, 453000, China.
Zhao L; Center of Network and Information, Xinxiang Medical University, Xinxiang, 453000, China.
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Źródło:
Biomedical engineering online [Biomed Eng Online] 2023 May 18; Vol. 22 (1), pp. 48. Date of Electronic Publication: 2023 May 18.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Deep Learning*
Diagnostic Imaging/methods ; Radiography
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Coronary Computed Tomography Angiography with Deep Learning Image Reconstruction: A Preliminary Study to Evaluate Radiation Exposure Reduction.
Autorzy:
Bona R; Medical Physics Unit, Azienda Ospedaliero-Universitaria (AOU), 07100 Sassari, Italy.
Marini P; Medical Physics Unit, Azienda Ospedaliero-Universitaria (AOU), 07100 Sassari, Italy.
Turilli D; Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Masala S; Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Scaglione M; Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
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Źródło:
Tomography (Ann Arbor, Mich.) [Tomography] 2023 May 16; Vol. 9 (3), pp. 1019-1028. Date of Electronic Publication: 2023 May 16.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Radiation Exposure*/prevention & control
Computed Tomography Angiography/methods ; Coronary Angiography/methods ; Prospective Studies ; Radiation Dosage ; Image Processing, Computer-Assisted
Czasopismo naukowe
Szczegóły
Tytuł:
CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides.
Autorzy:
Ouellet S; Ottawa, Canada.
Ferguson L; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK.
Lau AZ; Medical Biophysics, University of Toronto, Toronto, ON, Canada.; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada.
Lim TKY; Vancouver, Canada. .; Department of Pharmacology, University of Cambridge, Cambridge, UK. .
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2023 May 16; Vol. 24 (1), pp. 200. Date of Electronic Publication: 2023 May 16.
Typ publikacji:
Journal Article
MeSH Terms:
Cysteine*
Deep Learning*
Animals ; Proteins/chemistry ; Peptides/chemistry ; Algorithms ; Mammals
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.
Autorzy:
Wysocka M; Digital Experimental Cancer Medicine Team, Cancer Biomarker Centre, CRUK Manchester Institute, University of Manchester, Oxford Rd, Manchester, M13 9 PL, UK. .; Department of Computer Science, University of Manchester, Oxford Rd, Manchester, M13 9 PL, UK. .
Wysocki O; Digital Experimental Cancer Medicine Team, Cancer Biomarker Centre, CRUK Manchester Institute, University of Manchester, Oxford Rd, Manchester, M13 9 PL, UK. .; Department of Computer Science, University of Manchester, Oxford Rd, Manchester, M13 9 PL, UK. .; Idiap Research Institute, National University of Sciences, Rue Marconi 19, CH - 1920, Martigny, Switzerland. .
Zufferey M; Idiap Research Institute, National University of Sciences, Rue Marconi 19, CH - 1920, Martigny, Switzerland.
Landers D; DeLondra Oncology Ltd, 38 Carlton Avenue, Wilmslow, SK9 4EP, UK.
Freitas A; Digital Experimental Cancer Medicine Team, Cancer Biomarker Centre, CRUK Manchester Institute, University of Manchester, Oxford Rd, Manchester, M13 9 PL, UK.; Department of Computer Science, University of Manchester, Oxford Rd, Manchester, M13 9 PL, UK.; Idiap Research Institute, National University of Sciences, Rue Marconi 19, CH - 1920, Martigny, Switzerland.
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2023 May 15; Vol. 24 (1), pp. 198. Date of Electronic Publication: 2023 May 15.
Typ publikacji:
Systematic Review; Journal Article
MeSH Terms:
Deep Learning*
Neoplasms*/genetics
Humans ; Medical Oncology ; Biological Evolution ; Biology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Deep learning-based EEG analysis to classify normal, mild cognitive impairment, and dementia: Algorithms and dataset.
Autorzy:
Kim MJ; Department of Image, Chung-Ang University, Seoul, 06974, South Korea. Electronic address: .
Youn YC; Department of Neurology, Chung-Ang University College of Medicine, Seoul, 06973, South Korea; Biomedical Research Institute, Chung-Ang University Hospital, Seoul, 06973, South Korea. Electronic address: .
Paik J; Department of Image, Chung-Ang University, Seoul, 06974, South Korea; Department of Artificial Intelligence, Chung-Ang University, Seoul, 06974, South Korea. Electronic address: .
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Źródło:
NeuroImage [Neuroimage] 2023 May 15; Vol. 272, pp. 120054. Date of Electronic Publication: 2023 Mar 29.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Cognitive Dysfunction*/diagnosis
Dementia*/diagnosis
Humans ; Electroencephalography/methods ; Algorithms
Czasopismo naukowe
Szczegóły
Tytuł:
Large-scale electrophysiology and deep learning reveal distorted neural signal dynamics after hearing loss.
Autorzy:
Sabesan S; Ear Institute, University College London, London, United Kingdom.
Fragner A; Perceptual Technologies, London, United Kingdom.
Bench C; Ear Institute, University College London, London, United Kingdom.
Drakopoulos F; Ear Institute, University College London, London, United Kingdom.
Lesica NA; Ear Institute, University College London, London, United Kingdom.
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Źródło:
ELife [Elife] 2023 May 10; Vol. 12. Date of Electronic Publication: 2023 May 10.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Hearing Loss, Sensorineural*
Deep Learning*
Speech Perception*/physiology
Hearing Loss*
Deafness*
Animals ; Humans ; Electrophysiology
Czasopismo naukowe
Szczegóły
Tytuł:
Deep learning-based multi-model approach on electron microscopy image of renal biopsy classification.
Autorzy:
Zhang J; Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, China.; Laboratory Medicine Center, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China.
Zhang A; Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, China. .
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Źródło:
BMC nephrology [BMC Nephrol] 2023 May 09; Vol. 24 (1), pp. 132. Date of Electronic Publication: 2023 May 09.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Deep Learning*
Humans ; Microscopy, Electron ; Antigen-Antibody Complex ; Biopsy
Czasopismo naukowe
Szczegóły
Tytuł:
A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.
Autorzy:
Buccardi M; Department of Mathematical, Physical and Computer Sciences, University of Parma, Parma, Italy.; Experimental Pharmacology & Translational Science Department, Chiesi Farmaceutici S.P.A, 43122, Parma, Italy.
Ferrini E; Department of Veterinary Science, University of Parma, Parma, Italy.
Pennati F; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico Di Milano, Milan, Italy.
Vincenzi E; Department of Computer Science, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.; Camelot Biomedical System S.R.L, Via Al Ponte Reale 2/20, 16124, Genoa, Italy.
Ledda RE; Department of Medicine and Surgery, University of Parma, Parma, Italy.
Grandi A; Experimental Pharmacology & Translational Science Department, Chiesi Farmaceutici S.P.A, 43122, Parma, Italy.
Buseghin D; Department of Medicine and Surgery, University of Parma, Parma, Italy.
Villetti G; Experimental Pharmacology & Translational Science Department, Chiesi Farmaceutici S.P.A, 43122, Parma, Italy.
Sverzellati N; Department of Medicine and Surgery, University of Parma, Parma, Italy.
Aliverti A; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico Di Milano, Milan, Italy.
Stellari FF; Experimental Pharmacology & Translational Science Department, Chiesi Farmaceutici S.P.A, 43122, Parma, Italy. .
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Źródło:
Respiratory research [Respir Res] 2023 May 09; Vol. 24 (1), pp. 126. Date of Electronic Publication: 2023 May 09.
Typ publikacji:
Journal Article
MeSH Terms:
Pulmonary Fibrosis*/chemically induced
Pulmonary Fibrosis*/diagnostic imaging
Pulmonary Fibrosis*/drug therapy
Deep Learning*
Animals ; Humans ; Mice ; X-Ray Microtomography ; Reproducibility of Results ; Bleomycin/toxicity ; Disease Models, Animal
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
High-throughput deep learning variant effect prediction with Sequence UNET.
Autorzy:
Dunham AS; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK. .; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1RQ, UK. .
Beltrao P; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK.; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093, Zurich, Switzerland.
AlQuraishi M; Department of Systems Biology, Columbia University, New York, NY, USA. .
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Źródło:
Genome biology [Genome Biol] 2023 May 09; Vol. 24 (1), pp. 110. Date of Electronic Publication: 2023 May 09.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Data Compression*
Mutation ; Proteomics
Czasopismo naukowe
Szczegóły
Tytuł:
Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records.
Autorzy:
Baik SM; Division of Critical Care Medicine, Department of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea.
Hong KS; Division of Critical Care Medicine, Department of Surgery, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Korea.
Park DJ; Department of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 1021, Tongil-ro, Eunpyeong-gu, Seoul, 03312, Korea. .
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2023 May 09; Vol. 24 (1), pp. 190. Date of Electronic Publication: 2023 May 09.
Typ publikacji:
Journal Article
MeSH Terms:
COVID-19*/diagnostic imaging
Deep Learning*
Humans ; Electronic Health Records ; X-Rays ; Artificial Intelligence
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading.
Autorzy:
Carcagnì P; Institute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR), Via Monteroni snc University Campus, 73100 Lecce, Italy.
Leo M; Institute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR), Via Monteroni snc University Campus, 73100 Lecce, Italy.
Signore L; Dipartimento di Ingegneria per L'Innovazione, Università del Salento, Via Monteorni snc University Campus, 73100 Lecce, Italy.
Distante C; Institute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR), Via Monteroni snc University Campus, 73100 Lecce, Italy.; Dipartimento di Ingegneria per L'Innovazione, Università del Salento, Via Monteorni snc University Campus, 73100 Lecce, Italy.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 May 08; Vol. 23 (9). Date of Electronic Publication: 2023 May 08.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Colonic Neoplasms*/diagnosis
Carcinoma*
Humans ; Female ; Early Detection of Cancer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Automatic detection and recognition of nasopharynx gross tumour volume (GTVnx) by deep learning for nasopharyngeal cancer radiotherapy through magnetic resonance imaging.
Autorzy:
Wang Y; Faculty of Computer Science and Technology, Wenzhou University, WenZhou, China.
Chen H; College of Intelligent Manufacturing, Wenzhou Polytechnic, Wenzhou, China.
Lin J; Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, WenZhou, China.
Dong S; Department of Radiotherapy, Wenzhou Central Hospital, Dingli Clinical Medical School of Wenzhou Medical University, Wenzhou, China.
Zhang W; Department of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, WenZhou, China. .
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Źródło:
Radiation oncology (London, England) [Radiat Oncol] 2023 May 08; Vol. 18 (1), pp. 76. Date of Electronic Publication: 2023 May 08.
Typ publikacji:
Journal Article
MeSH Terms:
Nasopharyngeal Neoplasms*/diagnostic imaging
Nasopharyngeal Neoplasms*/radiotherapy
Deep Learning*
Humans ; Tumor Burden ; Nasopharyngeal Carcinoma/diagnostic imaging ; Nasopharyngeal Carcinoma/radiotherapy ; Magnetic Resonance Imaging ; Nasopharynx/diagnostic imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Saliency Map and Deep Learning in Binary Classification of Brain Tumours.
Autorzy:
Chmiel W; Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, AGH University of Science and Technology, 30-059 Krakow, Poland.
Kwiecień J; Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, AGH University of Science and Technology, 30-059 Krakow, Poland.
Motyka K; Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, AGH University of Science and Technology, 30-059 Krakow, Poland.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 May 07; Vol. 23 (9). Date of Electronic Publication: 2023 May 07.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Brain Neoplasms*/diagnostic imaging
Humans ; Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Deep learning for diagnosis of malign pleural effusion on computed tomography images.
Autorzy:
Ozcelik N; Recep Tayyip Erdogan University, Faculty of Medicine, Training and Research Hospital, Chest Disease, Rize, Turkey. Electronic address: .
Ozcelik AE; Recep Tayyip Erdogan University, Engineering and Architecture Faculty, Department of Landscape Architecture (Geomatics Engineer), Rize, Turkey.
Guner Zirih NM; Recep Tayyip Erdogan University, Faculty of Medicine, Training and Research Hospital, Chest Disease, Rize, Turkey.
Selimoglu I; Recep Tayyip Erdogan University, Faculty of Medicine, Training and Research Hospital, Chest Disease, Rize, Turkey.
Gumus A; Recep Tayyip Erdogan University, Faculty of Medicine, Training and Research Hospital, Chest Disease, Rize, Turkey.
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Źródło:
Clinics (Sao Paulo, Brazil) [Clinics (Sao Paulo)] 2023 May 05; Vol. 78, pp. 100210. Date of Electronic Publication: 2023 May 05 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Pleural Effusion, Malignant*/diagnostic imaging
Deep Learning*
Pleural Effusion*/diagnostic imaging
Humans ; Tomography, X-Ray Computed/methods ; Lung
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 261486

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