MC-ViT: Multi-path cross-scale vision transformer for thymoma histopathology whole slide image typing

MC-ViT: Multi-path cross-scale vision transformer for thymoma histopathology whole slide image typing

ObjectivesAccurate histological typing plays an important role in diagnosing thymoma or thymic carcinoma (TC) and predicting the corresponding prognosis. In this paper, we develop and validate a deep learning-based thymoma typing method for hematoxylin & eosin (H&E)-stained whole sli...

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Bibliographic Details
Main Authors: Huaqi Zhang, Huang Chen, Jin Qin, Bei Wang, Guolin Ma, Pengyu Wang, Dingrong Zhong, Jie Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Oncology
Subjects:
thymoma typing
histopathology whole slide image
vision transformer
cross-correlation attention
multi-scale feature fusion
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.925903/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.925903/full

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