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Few-shot learning presents a critical solution for cancer diagnosis in computational pathology (CPath), addressing fundamental limitations in data availability, particularly the scarcity of expert annotations and patient privacy constraints.
Review the cancer genome atlas (tcga): an immeasurable source of knowledge
Katarzyna Tomczak, Patrycja Czerwińska, and Maciej Wiznerowicz · 2015
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Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Babak Ehteshami Bejnordi, Mitko Veta, Paul Johannes Van Diest, Bram Van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen AWM Van Der Laak, Meyke Hermsen, Quirine F Manson, Maschenka Balkenhol, et al · 2017
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From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge
Peter Bandi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, et al · 2018
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Attention-based deep multiple instance learning
Maximilian Ilse, Jakub Tomczak, and Max Welling · 2018
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Computing receptive fields of convolutional neural networks
André Araujo, Wade Norris, and Jack Sim · 2019
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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella, Matthew G Hanna, Luke Geneslaw, Allen Miraflor, Vitor Werneck Krauss Silva, Klaus J Busam, Edi Brogi, Victor E Reuter, David S Klimstra, and Thomas J Fuchs · 2019
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Digital pathology and artificial intelligence
Muhammad Khalid Khan Niazi, Anil V Parwani, and Metin N Gurcan · 2019
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Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis
Richard J Chen, Ming Y Lu, Jingwen Wang, Drew FK Williamson, Scott J Rodig, Neal I Lindeman, and Faisal Mahmood · 2020
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Multiple instance learning with center embeddings for histopathology classification
Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, and Sang Hyun Park · 2020
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Artificial intelligence and computational pathology
Miao Cui and David Y Zhang · 2021
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Dt-mil: deformable transformer for multi-instance learning on histopathological image
Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, and Jianhua Yao · 2021
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Data-efficient and weakly supervised computational pathology on whole-slide images
Ming Y Lu, Drew FK Williamson, Tiffany Y Chen, Richard J Chen, Matteo Barbieri, and Faisal Mahmood · 2021
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Transmil: Transformer based correlated multiple instance learning for whole slide image classification
Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, et al · 2021
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Deep learning in histopathology: the path to the clinic
Jeroen Van der Laak, Geert Litjens, and Francesco Ciompi · 2021
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Pan-cancer integrative histology-genomic analysis via multimodal deep learning
Richard J Chen, Ming Y Lu, Drew FK Williamson, Tiffany Y Chen, Jana Lipkova, Zahra Noor, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, et al · 2022
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Scl-wc: Cross-slide contrastive learning for weakly-supervised whole-slide image classification
Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, and Xiao Han · 2022
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Dsnet: A dual-stream framework for weakly-supervised gigapixel pathology image analysis
Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O’Donnell, and Weidong Cai · 2022
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Jiawei Yang, Hanbo Chen, Jiangpeng Yan, Xiaoyu Chen, and Jianhua Yao · 2022
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Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification
Hongrun Zhang, Yanda Meng, Yitian Zhao, Yihong Qiao, Xiaoyun Yang, Sarah E Coupland, and Yalin Zheng · 2022
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A graph-transformer for whole slide image classification
Yi Zheng, Rushin H Gindra, Emily J Green, Eric J Burks, Margrit Betke, Jennifer E Beane, and Vijaya B Kolachalama · 2022
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Learning to prompt for vision-language models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Fast: A dual-tier few-shot learning paradigm for whole slide image classification
Kexue Fu, Xiaoyuan Luo, Linhao Qu, Shuo Wang, Ying Xiong, Ilias Maglogiannis, Longxiang Gao, and Manning Wang · 2024
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Histgen: Histopathology report generation via local-global feature encoding and cross-modal context interaction
Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, and Hao Chen · 2024
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Mscpt: Few-shot whole slide image classification with multi-scale and context-focused prompt tuning
Minghao Han, Linhao Qu, Dingkang Yang, Xukun Zhang, Xiaoying Wang, and Lihua Zhang · 2024
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Computational pathology: a survey review and the way forward
Mahdi S Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Lyndon Chan, Danial Hasan, Xingwen Li, Stephen Yang, Taehyo Kim, Haochen Zhang, Theodore Wu, et al · 2024
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Modeling dense multimodal interactions between biological pathways and histology for survival prediction
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A visual–language foundation model for pathology image analysis using medical twitter
Zhi Huang, Federico Bianchi, Mert Yuksekgonul, Thomas J Montine, and James Zou · 2023
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Label-efficient deep learning in medical image analysis: Challenges and future directions
Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, and Hao Chen · 2023
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Interventional bag multi-instance learning on whole-slide pathological images
Tiancheng Lin, Zhimiao Yu, Hongyu Hu, Yi Xu, and Chang-Wen Chen · 2023
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Visual language pretrained multiple instance zero-shot transfer for histopathology images
Ming Y Lu, Bowen Chen, Andrew Zhang, Drew FK Williamson, Richard J Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, and Faisal Mahmood · 2023
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A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities
Yisheng Song, Ting Wang, Puyu Cai, Subrota K Mondal, and Jyoti Prakash Sahoo · 2023
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Diagnose like a pathologist: transformer-enabled hierarchical attention-guided multiple instance learning for whole slide image classification
Conghao Xiong, Hao Chen, Joseph J. Y. Sung, and Irwin King · 2023
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Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction
Yingxue Xu and Hao Chen · 2023
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Guillaume Jaume, Anurag Vaidya, Richard J Chen, Drew FK Williamson, Paul Pu Liang, and Faisal Mahmood · 2024
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Dynamic graph representation with knowledge-aware attention for histopathology whole slide image analysis
Jiawen Li, Yuxuan Chen, Hongbo Chu, Qiehe Sun, Tian Guan, Anjia Han, and Yonghong He · 2024
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A visual-language foundation model for computational pathology
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Towards a generalizable pathology foundation model via unified knowledge distillation
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Vila-mil: Dual-scale vision-language multiple instance learning for whole slide image classification
Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, and Huazhu Fu · 2024
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A foundation model for clinical-grade computational pathology and rare cancers detection
Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, et al · 2024
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A pathology foundation model for cancer diagnosis and prognosis prediction
Xiyue Wang, Junhan Zhao, Eliana Marostica, Wei Yuan, Jietian Jin, Jiayu Zhang, Ruijiang Li, Hongping Tang, Kanran Wang, Yu Li, et al · 2024
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Mambamil: Enhancing long sequence modeling with sequence reordering in computational pathology
Shu Yang, Yihui Wang, and Hao Chen · 2024
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Prototypical information bottlenecking and disentangling for multimodal cancer survival prediction
Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, and Hao Chen · 2024
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Beyond h&e: Unlocking pathological insights with polarization via self-supervised learning
Yao Du, Jiaxin Zhuang, Xiaoyu Zheng, Jing Cong, Limei Guo, Chao He, Lin Luo, and Xiaomeng Li · 2025
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Context matters: Query-aware dynamic long sequence modeling of gigapixel images
Zhengrui Guo, Qichen Sun, Jiabo Ma, Lishuang Feng, Jinzhuo Wang, and Hao Chen · 2025
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Diffusion-based virtual staining from polarimetric mueller matrix imaging
Xiaoyu Zheng, Jing Wen, Jiaxin Zhuang, Yao Du, Jing Cong, Limei Guo, Chao He, Lin Luo, and Hao Chen · 2025
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