PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

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Yao, J., Zhu, X., Jonnagaddala, J., Hawkins, N., Huang, J.: Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. Medical Image Analysis 65

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Chen, R.J., Lu, M.Y., Weng, W.H., Chen, T.Y., Williamson, D.F., Manz, T., Shady, M., Mahmood, F.: Multimodal co-attention transformer for survival prediction in gigapixel whole slide images. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4015–4025 (2021)

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2021

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Shao, Z., Bian, H., Chen, Y., Wang, Y., Zhang, J., Ji, X., et al.: Transmil: Transformer based correlated multiple instance learning for whole slide image classification. Advances in neural information processing systems 34

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2022

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Li, C., Zhu, X., Yao, J., Huang, J.: Hierarchical transformer for survival prediction using multimodality whole slide images and genomics. In: 2022 26th international conference on pattern recognition (ICPR). pp. 4256–4262. IEEE (2022)

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2023

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Xu, Y., Chen, H.: Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 21241–21251 (2023)

2023

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Zhang, Y., Gao, J., Zhou, M., Wang, X., Qiao, Y., Zhang, S., Wang, D.: Text-guided foundation model adaptation for pathological image classification. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 272–282. Springer (2023)

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Zhou, F., Chen, H.: Cross-modal translation and alignment for survival analysis. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 21485–21494 (2023)