2023
DOI: 10.21203/rs.3.rs-3251701/v1
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Enhancing Breast Cancer Histopathological Image Classification using Attention-Based High Order Covariance Pooling

Muhammad Waqas,
Amr Ahmed,
Tomas Maul
et al.

Abstract: The type of cancer that affects female patients most frequently is breast cancer. Computer-aided diagnosis, these days, proves to be helpful for many diseases including breast cancer. Deep learning based approaches have yielded encouraging results in many computer vision applications. In the case of breast cancer histopathological image classification, many methods have been proposed but the accuracy is still insufficient for full deployment. Due to this reason, we propose a deep learning based approach, DHA-N… Show more

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