博士論文

頭頸部悪性腫瘍の局所浸潤に関する画像診断への深層学習の応用の検討

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頭頸部悪性腫瘍の局所浸潤に関する画像診断への深層学習の応用の検討

Persistent ID (NDL)
info:ndljp/pid/13731022
Material type
博士論文
Author
中川, 純一
Publisher
Hokkaido University
Publication date
2024-06-28
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
北海道大学,博士(医学)
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Notes on use at the National Diet Library

Notes on use

Note (General):

(主査) 教授 青山 英史, 教授 田中 伸哉, 准教授 矢口 裕章医学院(医学専攻)

Table of Contents

  • Nakagawa J, Fujima N, Hirata K, Tang M, Tsuneta S, Suzuki J, Harada Y, Ikebe Y, Homma A, Kano S, Minowa K, Kudo K.Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor. Cancer Imaging 2022 Sep 22;22(1):52. doi: 10.1186/s40644-022-00492-0.

  • Nakagawa J, Fujima N, Hirata K, Harada Y, Wakabayashi N, Takano Y, Homma A, Kano S, Minowa K, Kudo K.Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach Japanese Journal of Radiology 2024 Jan 27. doi: 10.1007/s11604-023-01527-7.

  • Nakagawa J, Fujima N, Hirata K, Tang M, Tsuneta S, Suzuki J, Homma A,Minowa K, Kudo K.Deep learning assistance for CT diagnosis of orbital invasion by nasal or sinonasal tumors - Like a specialist giving you the answers EUROPEAN CONGRESS OF RADIOLOGY ECR 2023, Vienna, 1-5/January/2023

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  • Hokkaido University Collection of Scholarly and Academic Papers

    Digital
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Bibliographic Record

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Digital

Material Type
博士論文
Author/Editor
中川, 純一
Author Heading
Publication, Distribution, etc.
Publication Date
2024-06-28
Publication Date (W3CDTF)
2024-06-28
Alternative Title
Investigations on the application of deep learning to the diagnostic imaging for local invasion in head and neck malignant tumor
Degree grantor/type
北海道大学
Date Granted
2024-06-28