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博士 （医学） >
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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| Title: | 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 |
| Other Titles: | Investigations on the application of deep learning to the diagnostic imaging for local invasion in head and neck malignant tumor |
| Authors: | 中川, 純一 Browse this author |
| Issue Date: | 28-Jun-2024 |
| Publisher: | Hokkaido University |
| Conffering University: | 北海道大学 |
| Degree Report Number: | 甲第16058号 |
| Degree Level: | 博士 |
| Degree Discipline: | 医学 |
| Examination Committee Members: | (主査) 教授 青山 英史, 教授 田中 伸哉, 准教授 矢口 裕章 |
| Degree Affiliation: | 医学院（医学専攻） |
| (Relation)haspart: | 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 |
| Type: | theses (doctoral) |
| URI: | http://hdl.handle.net/2115/92786 |
| Appears in Collections: | 学位論文 (Theses) > 博士 （医学）
課程博士 (Doctorate by way of Advanced Course) > 医学院(Graduate School of Medicine)
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