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In digital pathology, whole slide images (WSIs) are widely used for applications such as cancer diagnosis and prognosis prediction.
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2020
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2020
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2020
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2021
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2021
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2022
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2022
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2022
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2022
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S. Jiang, A. A. Suriawinata, and S. Hassanpour, “MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images,”
2023
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Z. Li, Y. Cong, X. Chen, J. Qi, J. Sun, T. Yan, H. Yang, J. Liu, E. Lu, L. Wang, J. Li, H. Hu, C. Zhang, Q. Yang, J. Yao, P. Yao, Q. Jiang, W. Liu, J. Song, L. Carin, Y. Chen, S. Zhao, and X. Gao, “Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors,”
2023
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Q. D. Vu, K. Rajpoot, S. E. A. Raza, and N. Rajpoot, “Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images,”
2023
Closest in time.