From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology

While machine learning is currently transforming the field of histopathology, the domain lacks a comprehensive evaluation of state-of-the-art models based on essential but complementary quality requirements beyond a mere classification accuracy. In order to fill this gap, we developed a new methodol...

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Veröffentlicht in:	Medical image analysis 2023-07, Vol.87, p.102809-102809, Article 102809
Hauptverfasser:	Springenberg, Maximilian, Frommholz, Annika, Wenzel, Markus, Weicken, Eva, Ma, Jackie, Strodthoff, Nils
Format:	Artikel
Sprache:	eng
Schlagworte:	Breast Deep Learning Histopathology Humans Interpretability Machine Learning Neural Networks, Computer Robustness
Online-Zugang:	Volltext
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