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IHCNet: Advancing Multi-Stage HER2 Status Detection in Brea..:
, In:
2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
,
Shovon, Md Sakib Hossain
;
Shin, Jungpil
;
Mridha, M. F.
- p. 326-332 , 2023
Link:
https://doi.org/10.1109/3ICT60104.2023.10391584
RT T1 <cTitle>2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)</cTitle>: T1 <Title>IHCNet: Advancing Multi-Stage HER2 Status Detection in Breast Cancer Using Interpretable Robust Transfer Learning Model from IHC Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10391584&Exemplar=1&LAN=DE A1 Shovon, Md Sakib Hossain A1 Shin, Jungpil A1 Mridha, M. F. YR 2023 SN 2770-7466 K1 Technological innovation K1 Pathology K1 Computational modeling K1 Transfer learning K1 Epidermis K1 Breast cancer K1 Artificial intelligence K1 Breast Cancer (BC) K1 HER2 Status K1 Immunohistochemical (IHC) K1 IHCNet K1 DenseNet201 K1 BCI K1 Grad-CAM K1 Transfer Learning (TL) SP 326 OP 332 LK http://dx.doi.org/https://doi.org/10.1109/3ICT60104.2023.10391584 DO https://doi.org/10.1109/3ICT60104.2023.10391584 SF ELIB - SuUB Bremen
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