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Wyszukujesz frazę ""Maxillary Sinus"" wg kryterium: Temat

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Wyświetlanie 41-60 z 10985
Tytuł:
Location, Size, and Prevalence of the Maxillary Sinus Septa: Comparison of Panoramic Radiography and Cone-Beam Computerize Tomography.
Autorzy:
ALTINDAĞ, Ali
YILDIRIM, Cemile Nur
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Alternatywny tytuł:
Maksilller Sinus Septasının Yeri, Yüksekliği ve Prevelansı: Panoramik Radyografi ve Konik Işınlı Bilgisayarlı Tomografi Karşılaştırması.
Źródło:
Journal of Harran University Medical Faculty / Harran Üniversitesi Tıp Fakültesi Dergisi. 2023, Vol. 20 Issue 3, p605-611. 7p.
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
The Variations in Deviation of Nasal Septum and their Impact on Maxillary Sinus Volume and Occurrence of Sinusitis.
Autorzy:
Kalsotra, Gopika (AUTHOR)
Saroch, Pallavi (AUTHOR)
Gupta, Anchal (AUTHOR)
Kalsotra, Parmod (AUTHOR)
Saraf, Aditya (AUTHOR)
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Źródło:
Indian Journal of Otolaryngology & Head & Neck Surgery. Sep2023, Vol. 75 Issue 3, p1762-1766. 5p.
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Maxillary sinus aeration analysis using computational fluid dynamics.
Autorzy:
Tretiakow D; Department of Otolaryngology, Medical University of Gdansk, Gdansk, Poland. .
Tesch K; Faculty of Mechanical Engineering and Ship Technology, Gdansk University of Technology, Gdansk, Poland.
Markiet K; II Department of Radiology, Medical University of Gdansk, Gdansk, Poland.
Skorek A; Department of Otolaryngology, Medical University of Gdansk, Gdansk, Poland.
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Źródło:
Scientific reports [Sci Rep] 2022 Jun 20; Vol. 12 (1), pp. 10376. Date of Electronic Publication: 2022 Jun 20.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Maxillary Sinus*/diagnostic imaging
Nose Diseases*
Adult ; Humans ; Hydrodynamics ; Nasal Cavity ; Nasal Septum
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Convolutional neural network for automatic maxillary sinus segmentation on cone-beam computed tomographic images.
Autorzy:
Morgan N; OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven & Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium.; Department of Oral Medicine, Faculty of Dentistry, Mansoura University, Mansoura, Egypt.
Van Gerven A; Relu BV, Leuven, Belgium.
Smolders A; Relu BV, Leuven, Belgium.
de Faria Vasconcelos K; OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven & Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium.
Willems H; Relu BV, Leuven, Belgium.
Jacobs R; OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven & Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium. .; Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden. .
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Źródło:
Scientific reports [Sci Rep] 2022 May 07; Vol. 12 (1), pp. 7523. Date of Electronic Publication: 2022 May 07.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Maxillary Sinus*/diagnostic imaging
Neural Networks, Computer*
Cone-Beam Computed Tomography/methods ; Image Processing, Computer-Assisted ; Reproducibility of Results
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation.
Autorzy:
Kim KS; Medical AI Research Center, Samsung Medical Center, Seoul, Republic of Korea.
Kim BK; Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Chung MJ; Medical AI Research Center, Samsung Medical Center, Seoul, Republic of Korea.; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Cho HB; Medical AI Research Center, Samsung Medical Center, Seoul, Republic of Korea.
Cho BH; Medical AI Research Center, Samsung Medical Center, Seoul, Republic of Korea.; Department of Medical Device Management and Research, SAIHST, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jung YG; Medical AI Research Center, Samsung Medical Center, Seoul, Republic of Korea.; Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
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Źródło:
PloS one [PLoS One] 2022 Feb 25; Vol. 17 (2), pp. e0263125. Date of Electronic Publication: 2022 Feb 25 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Artificial Intelligence*
Maxillary Sinus/*diagnostic imaging
Sinusitis/*diagnosis
Tomography, X-Ray Computed/*methods
Deep Learning ; Humans ; Maxillary Sinus/microbiology ; Maxillary Sinus/physiopathology ; Neural Networks, Computer ; ROC Curve ; Sinusitis/diagnostic imaging ; Sinusitis/microbiology ; Sinusitis/physiopathology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
CORRELATION OF THE INITIAL BONE HEIGHT TO THE MIDDLE FACIAL HEIGHT AND THE MAXILLARY SINUS VOLUME: A RETROSPECTIVE STUDY.
Autorzy:
Chaaya, Mark Bou
Menassa, Gabriel
Ghosn, Nabil
Nicolas, Joyce
Naaman, Nada
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Alternatywny tytuł:
CORRÉLATION DE LA HAUTEUR OSSEUSE INITIALE, À LA HAUTEUR DE L’ÉTAGE FACIAL MOYEN ET AU VOLUME DU SINUS MAXILLAIRE: UNE ÉTUDE RÉTROSPECTIVE.
Źródło:
International Arab Journal of Dentistry. 2023, Vol. 14 Issue 2, p150-161. 12p.
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Diagnosing Pathological Changes in the Non-thickening Sinus Mucosa: A Retrospective CBCT Study with Psudocolor Imaging.
Autorzy:
ŞATIR, Samed
ÇİMEN, Tansu
GÜLŞEN, İbrahim Tevfik
SAKA, Yunus Yiğit
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Alternatywny tytuł:
Kalınlaşma Göstermeyen Sinüs Mukozasındaki Patolojik Değişimlerin Teşhis Edilmesi: Sahte Renklendirme ile Bir Retrospektif KİBT Çalışması.
Źródło:
Bezmialem Science. 2023, Vol. 11 Issue 3, p260-266. 7p.
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
SMARCB1(INI1)-deficient sinonasal adenocarcinoma: Report of a case previously diagnosed as high-grade non-intestinal-type sinonasal adenocarcinoma.
Autorzy:
Su YJ; Department of Pathology, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Lee YH; Department of Pathology, National Taiwan University Hospital and National Taiwan, University College of Medicine, Taipei, Taiwan.
Hsieh MS; Department of Pathology, National Taiwan University Hospital and National Taiwan, University College of Medicine, Taipei, Taiwan.; Graduate Institute of Pathology, College of Medicine, National Taiwan University, Taipei, Taiwan.
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Źródło:
Pathology international [Pathol Int] 2022 Jan; Vol. 72 (1), pp. 53-58. Date of Electronic Publication: 2021 Oct 01.
Typ publikacji:
Case Reports
MeSH Terms:
Adenocarcinoma*/diagnosis
Adenocarcinoma*/pathology
Maxillary Sinus Neoplasms*/diagnosis
Maxillary Sinus Neoplasms*/pathology
Biomarkers, Tumor/analysis ; Carcinoma/diagnosis ; Carcinoma/pathology ; Female ; Humans ; Hyperplasia ; Immunohistochemistry ; Middle Aged ; SMARCB1 Protein/analysis
SCR Disease Name:
Sinonasal undifferentiated carcinoma
Raport
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Differences in clinical and imaging presentation of maxillary sinus fungus ball with and without intralesional hyperdensity.
Autorzy:
Wu PW; Division of Rhinology, Department of Otolaryngology, Chang Gung Memorial Hospital and Chang Gung University, No. 5, Fu-Shin Street, Kweishan, Taoyuan, 333, Taiwan, ROC.; Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital and Chang Gung University, Keelung, Taiwan, ROC.
Lee TJ; Division of Rhinology, Department of Otolaryngology, Chang Gung Memorial Hospital and Chang Gung University, No. 5, Fu-Shin Street, Kweishan, Taoyuan, 333, Taiwan, ROC.; School of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.; Xiamen Chang Gung Hospital, Xiamen, People's Republic of China.
Yang SW; Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital and Chang Gung University, Keelung, Taiwan, ROC.; School of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.; Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.
Huang Y; Department of Anatomic Pathology, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan, ROC.
Lee YS; Department of Biotechnology, Ming Chuan University, Taoyuan, Taiwan, ROC.; Genomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan, ROC.
Ho CF; Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital and Chang Gung University, Keelung, Taiwan, ROC.
Huang CC; Division of Rhinology, Department of Otolaryngology, Chang Gung Memorial Hospital and Chang Gung University, No. 5, Fu-Shin Street, Kweishan, Taoyuan, 333, Taiwan, ROC. .; School of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC. .; Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC. .
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Źródło:
Scientific reports [Sci Rep] 2021 Dec 14; Vol. 11 (1), pp. 23945. Date of Electronic Publication: 2021 Dec 14.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Fungi*
Hyphae*
Maxillary Sinus*/diagnostic imaging
Maxillary Sinus*/microbiology
Maxillary Sinus*/surgery
Paranasal Sinus Diseases*/diagnosis
Paranasal Sinus Diseases*/microbiology
Paranasal Sinus Diseases*/surgery
Tomography, X-Ray Computed*
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Mycoses/diagnostic imaging ; Mycoses/microbiology ; Mycoses/surgery
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
SinusC-Net for automatic classification of surgical plans for maxillary sinus augmentation using a 3D distance-guided network.
Autorzy:
Hwang IK; Department of Periodontology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, 03080, Republic of Korea.
Kang SR; Department of Biomedical Radiation Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
Yang S; Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
Kim JM; Department of Electronics and Information Engineering, Hansung University, Seoul, 02876, Republic of Korea.
Kim JE; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, 03080, Republic of Korea.
Huh KH; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, 03080, Republic of Korea.
Lee SS; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, 03080, Republic of Korea.
Heo MS; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, 03080, Republic of Korea.
Yi WJ; Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea. .; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, 03080, Republic of Korea. .
Kim TI; Department of Periodontology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, 03080, Republic of Korea. .
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Źródło:
Scientific reports [Sci Rep] 2023 Jul 19; Vol. 13 (1), pp. 11653. Date of Electronic Publication: 2023 Jul 19.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Sinus Floor Augmentation*/methods
Mouth, Edentulous*
Humans ; Maxillary Sinus/diagnostic imaging ; Maxillary Sinus/surgery ; Cone-Beam Computed Tomography/methods ; Maxilla/diagnostic imaging ; Maxilla/surgery
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Adaptive Localizing Region-Based Level Set for Segmentation of Maxillary Sinus Based on Convolutional Neural Networks.
Autorzy:
Qi X; Liaoning Huading Technology Co., Ltd., Shenyang, Liaoning 110167, China.
Zhong J; JiangSu PangPu Network Technology Co., Ltd., JiangSu, China.
Cui S; Baidu.com Times Technology (Beijing) Co., Ltd., Beijing, China.
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Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2021 Nov 11; Vol. 2021, pp. 4824613. Date of Electronic Publication: 2021 Nov 11 (Print Publication: 2021).
Typ publikacji:
Journal Article
MeSH Terms:
Maxillary Sinus*/diagnostic imaging
Neural Networks, Computer*
Algorithms ; Image Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Wyświetlanie 41-60 z 10985

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