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Towards Trustworthy Breast Cancer Diagnosis: A Comparative Explainability Stability Study of DenseNet121 and Vision Transformers

2026-07-03

Abstract excerpt

<title>Abstract</title> <p>Breast cancer is among the top cancer killing diseases among women worldwide and there is a need of reliable histopathology image analysis for early cancer diagnosis and treatment planning. Deep learning models are black-box models and have proven to be very successful for medical image classification applications but they are not readily interpretable by the clinician, thereby decreasi...

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Literature Corpus work
046e7ac5-0f4c-50e3-9eb0-178e3ff51012
DOI
10.21203/rs.3.rs-9942968/v1
Open publication

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Towards Trustworthy Breast Cancer Diagnosis: A Comparative Explainability Stability Study of DenseNet121 and Vision TransformersDOI 10.21203/rs.3.rs-9942968/v1
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