CytoNet: an efficient dual attention based automatic prediction of cancer sub-types in cytology studies

Abstract Computer-assisted diagnosis (CAD) plays a key role in cancer diagnosis or screening. Whereas, current CAD performs poorly on whole slide image (WSI) analysis, and thus fails to generalize well. This research aims to develop an automatic classification system to distinguish between different...

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Détails bibliographiques
Auteurs principaux: Naveed Ilyas, Farhat Naseer, Anwar Khan, Aamir Raja, Yong-Moon Lee, Jae Hyun Park, Boreom Lee
Format: Article
Langue:English
Publié: Nature Portfolio 2024-10-01
Collection:Scientific Reports
Accès en ligne:https://doi.org/10.1038/s41598-024-76512-9