このページは機械翻訳されています。他のページは英語で表示される場合があります。
View in English
HiST: ヒストロジカル イメージ 腫瘍 空間 トランスクリプトミクス マルチスケール 融合 ディープ ラーニング
- Wei Li 1, Dong Zhang 2, Eryu Peng 2, Shijun Shen 1, Hamid Alinejad-Rokny 3, Yao Liu 4, Junke Zheng 5, Cizhong Jiang 1, Youqiong Ye 2
- Wei Li 1, Dong Zhang 2, Eryu Peng 2
- 1Shanghai Tenth People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
- 2Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- 3UNSW BioMedical Machine Learning Lab (BML) School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, Australia.
- 4Department of Hepatobiliary Surgery, State Key Laboratory of Immune Response and Immunotherapy, Centre For Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
- 5Institute for Translational Medicine On Cell Fate and Disease, Shanghai Ninth People's Hospital, Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- 0Shanghai Tenth People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
関連する実験動画
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

