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pro vyhledávání: '"Histologisk gradering av bröstcancer"'
Autor:
Normelius, Anton
Technological advancements have opened up the possibility of digitizing the pathological landscape, enabling deep learning-based methods to analyze digitized tissue samples, i.e., whole slide images (WSIs). Attention has recently shifted toward model
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-317494
Autor:
Normelius, Anton
Technological advancements have opened up the possibility of digitizing the pathological landscape, enabling deep learning-based methods to analyze digitized tissue samples, i.e., whole slide images (WSIs). Attention has recently shifted toward model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::f02d56a029fea0c6411c3b869ad9eff3
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-317494
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-317494