TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma.
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%0 Journal Article
%1 journals/cmpb/SunLFPHWYMLWHW23
%A Sun, Xinhuan
%A Li, Wuchao
%A Fu, Bangkang
%A Peng, Yunsong
%A He, Junjie
%A Wang, Lihui
%A Yang, Tongyin
%A Meng, Xue
%A Li, Jin
%A Wang, Jinjing
%A Huang, Ping
%A Wang, Rongpin
%D 2023
%J Comput. Methods Programs Biomed.
%K dblp
%P 107789
%T TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma.
%U http://dblp.uni-trier.de/db/journals/cmpb/cmpb242.html#SunLFPHWYMLWHW23
%V 242
@article{journals/cmpb/SunLFPHWYMLWHW23,
added-at = {2023-12-10T00:00:00.000+0100},
author = {Sun, Xinhuan and Li, Wuchao and Fu, Bangkang and Peng, Yunsong and He, Junjie and Wang, Lihui and Yang, Tongyin and Meng, Xue and Li, Jin and Wang, Jinjing and Huang, Ping and Wang, Rongpin},
biburl = {https://www.bibsonomy.org/bibtex/2a67d75b608e45821d37f177589d340b2/dblp},
ee = {https://doi.org/10.1016/j.cmpb.2023.107789},
interhash = {07633a8166da0e65007f089358c0536c},
intrahash = {a67d75b608e45821d37f177589d340b2},
journal = {Comput. Methods Programs Biomed.},
keywords = {dblp},
month = {December},
pages = 107789,
timestamp = {2024-04-09T05:22:40.000+0200},
title = {TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma.},
url = {http://dblp.uni-trier.de/db/journals/cmpb/cmpb242.html#SunLFPHWYMLWHW23},
volume = 242,
year = 2023
}
