Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method.
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%0 Journal Article
%1 journals/cbm/SepahvandM22
%A Sepahvand, Majid
%A Mohammadi, Fardin Abdali
%D 2022
%J Comput. Biol. Medicine
%K dblp
%P 105413
%T Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method.
%U http://dblp.uni-trier.de/db/journals/cbm/cbm145.html#SepahvandM22
%V 145
@article{journals/cbm/SepahvandM22,
added-at = {2022-10-02T00:00:00.000+0200},
author = {Sepahvand, Majid and Mohammadi, Fardin Abdali},
biburl = {https://www.bibsonomy.org/bibtex/2e916c1814f72120096a0b79bf9b4fe2b/dblp},
ee = {https://www.wikidata.org/entity/Q111522244},
interhash = {e7a4d4977095b9cda5d2beac9a2b8c2b},
intrahash = {e916c1814f72120096a0b79bf9b4fe2b},
journal = {Comput. Biol. Medicine},
keywords = {dblp},
pages = 105413,
timestamp = {2024-04-09T02:43:41.000+0200},
title = {Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method.},
url = {http://dblp.uni-trier.de/db/journals/cbm/cbm145.html#SepahvandM22},
volume = 145,
year = 2022
}
