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Dear Edson Neto, |
Because your work is cited in a similar paper, we think you might be interested in this recently published article from Academia Oncology: Are H&E-based computational models transforming molecular pathology diagnostics in cancer?
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Karen Zwaenepoel, Yves Sucaet, Ali Ramadhan, Koen De Winne, Gerwin Puppels, José Oramas, Paolo Bossi...
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| Background: Advances in computational pathology using deep learning have enabled the prediction of molecular biomarkers and therapy response directly from hematoxylin and eosin (H&E) whole slide images (WSIs), offering a potential complement to molecular assays. Methods: Following PRISMA guidelines, we searched... Read more |
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Academia Oncology is an innovative open access journal publishing original research and review articles covering all areas of oncology. The editors welcome interdisciplinary submissions from the cutting edge of oncology research, in particular, those that drive connectivity between disciplines. |
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