Trusted multi-scale classification framework for whole slide image
Author:
Funder
National Key Research and Development Program of China
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference35 articles.
1. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images;Campanella;Nat. Med.,2019
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4. N. Hashimoto, D. Fukushima, R. Koga, Y. Takagi, K. Ko, K. Kohno, M. Nakaguro, S. Nakamura, H. Hontani, I. Takeuchi, Multi-scale domain-adversarial multiple-instance cnn for cancer subtype classification with unannotated histopathological images, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 3852–3861.
5. S. Maksoud, K. Zhao, P. Hobson, A. Jennings, B.C. Lovell, Sos: Selective objective switch for rapid immunofluorescence whole slide image classification, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 3862–3871.
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