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The emergence of large multimodal models (LMMs) has brought significant advancements to pathology.
Robbins and Cotran pathologic basis of disease, professional edition e-book
Vinay Kumar, Abul K Abbas, Nelson Fausto, and Jon C Aster · 2014
Earlier work this paper cites.
Replication Data for: Automated Gleason grading of prostate cancer tissue microarrays via deep learning., 2018
Eirini Arvaniti, Kim Fricker, Michael Moret, Niels Rupp, Thomas Hermanns, Christian Fankhauser, Norbert Wey, Peter Wild, Jan Hendrik Rüschoff, and Manfred Claassen · 2018
Earlier work this paper cites.
Attention-based deep multiple instance learning
Maximilian Ilse, Jakub M Tomczak, and Max Welling · 2018
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100,000 histological images of human colorectal cancer and healthy tissue
Jakob Nikolas Kather, Niels Halama, and Alexander Marx · 2018
Earlier work this paper cites.
Rotation equivariant cnns for digital pathology
Bastiaan S Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, and Max Welling · 2018
Earlier work this paper cites.
Learning transferable architectures for scalable image recognition, 2018
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le · 2018
Earlier work this paper cites.
Bach: Grand challenge on breast cancer histology images
Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, Mohammed Safwan, Varghese Alex, Bahram Marami, Marcel Prastawa, Monica Chan, Michael Donovan, et al · 2019
Earlier work this paper cites.
Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models
Harish Babu Arunachalam, Rashika Mishra, Ovidiu Daescu, Kevin Cederberg, Dinesh Rakheja, Anita Sengupta, David Leonard, Rami Hallac, and Patrick Leavey · 2019
Earlier work this paper cites.
Lung and colon cancer histopathological image dataset (lc25000)
Andrew A Borkowski, Marilyn M Bui, L Brannon Thomas, Catherine P Wilson, Lauren A DeLand, and Stephen M Mastorides · 2019
Earlier work this paper cites.
Camel: A weakly supervised learning framework for histopathology image segmentation
Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, and Wei Xu · 2019
Earlier work this paper cites.
Going deeper through the gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
Julio Silva-Rodríguez, Adrián Colomer, María A Sales, Rafael Molina, and Valery Naranjo · 2020
Earlier work this paper cites.
Going deeper through the gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
Julio Silva-Rodríguez, Adrián Colomer, María A. Sales, Rafael Molina, and Valery Naranjo · 2020
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Multiple instance captioning: Learning representations from histopathology textbooks and articles
Jevgenij Gamper and Nasir Rajpoot · 2021
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Openclip, 2021
Gabriel Ilharco, Mitchell Wortsman, Ross Wightman, Cade Gordon, Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, Hongseok Namkoong, John Miller, Hannaneh Hajishirzi, Ali Farhadi, and Ludwig Schmidt · 2021
Earlier work this paper cites.
Paip 2019: Liver cancer segmentation challenge
Yoo Jung Kim, Hyungjoon Jang, Kyoungbun Lee, Seongkeun Park, Sung-Gyu Min, Choyeon Hong, Jeong Hwan Park, Kanggeun Lee, Jisoo Kim, Wonjae Hong, et al · 2021
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Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning
Bin Li, Yin Li, and Kevin W Eliceiri · 2021
Earlier work this paper cites.
A dataset and a methodology for intraoperative computer-aided diagnosis of a metastatic colon cancer in a liver
Dario Sitnik, Gorana Aralica, Mirko Hadžija, Marijana Popović Hadžija, Arijana Pačić, Marija Milković Periša, Luka Manojlović, Karolina Krstanac, Andrija Plavetić, and Ivica Kopriva · 2021
Earlier work this paper cites.
A petri dish for histopathology image analysis
Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, et al · 2021
Cited alongside, same era.
Predicting axillary lymph node metastasis in early breast cancer using deep learning on primary tumor biopsy slides
Feng Xu, Chuang Zhu, Wenqi Tang, Ying Wang, Yu Zhang, Jie Li, Hongchuan Jiang, Zhongyue Shi, Jun Liu, and Mulan Jin · 2021
Cited alongside, same era.
Scaling vision transformers to gigapixel images via hierarchical self-supervised learning
Richard J Chen, Chengkuan Chen, Yicong Li, Tiffany Y Chen, Andrew D Trister, Rahul G Krishnan, and Faisal Mahmood · 2022
Cited alongside, same era.
Wsss4luad: Grand challenge on weakly-supervised tissue semantic segmentation for lung adenocarcinoma
Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, et al · 2022
Cited alongside, same era.
Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study
Yuri Tolkach, Lisa Marie Wolgast, Alexander Damanakis, Alexey Pryalukhin, Simon Schallenberg, Wolfgang Hulla, Marie-Lisa Eich, Wolfgang Schroeder, Anirban Mukhopadhyay, Moritz Fuchs, et al · 2023
Later among the works it cites.
Virchow: A million-slide digital pathology foundation model
Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, et al · 2023
Later among the works it cites.
Sheng Zhang, Yanbo Xu, Naoto Usuyama, Hanwen Xu, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, et al · 2023
Later among the works it cites.
Domain generalization across tumor types, laboratories, and species—insights from the 2022 edition of the mitosis domain generalization challenge
Marc Aubreville, Nikolas Stathonikos, Taryn A Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, et al · 2024
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Katharina Kriegsmann, Frithjof Lobers, Christiane Zgorzelski, Joerg Kriegsmann, Charlotte Janssen, Rolf Ruedinger Meliss, Thomas Muley, Ulrich Sack, Georg Steinbuss, and Mark Kriegsmann · 2022
Cited alongside, same era.
Canine cutaneous cancer histology dataset, 2022
F. Wilm, M. Fragoso, C. Marzahl, C. Bertram, R. Klopfleisch, A. Maier, M. Aubreville, and K. Breininger · 2022
Cited alongside, same era.
Coca: Contrastive captioners are image-text foundation models
Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, and Yonghui Wu · 2022
Cited alongside, same era.
Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou · 2023
Cited alongside, same era.
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
Cited alongside, same era.
Quilt-1m: One million image-text pairs for histopathology, 2023
Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, and Linda Shapiro · 2023
Cited alongside, same era.
From clip to dino: Visual encoders shout in multi-modal large language models
Dongsheng Jiang, Yuchen Liu, Songlin Liu, Jin’e Zhao, Hao Zhang, Zhen Gao, Xiaopeng Zhang, Jin Li, and Hongkai Xiong · 2023
Cited alongside, same era.
Benchmarking self-supervised learning on diverse pathology datasets
Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, and Sérgio Pereira · 2023
Cited alongside, same era.
Closest in time.
Instructblip: Towards general-purpose vision-language models with instruction tuning
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale N Fung, and Steven Hoi · 2024
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Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, and Hao Chen · 2024
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Qwen2. 5-coder technical report
Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, et al · 2024
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A comprehensive ai model development framework for consistent gleason grading
Xinmi Huo, Kok Haur Ong, Kah Weng Lau, Laurent Gole, David M Young, Char Loo Tan, Xiaohui Zhu, Chongchong Zhang, Yonghui Zhang, Longjie Li, et al · 2024
Closest in time.
Quilt-1m: One million image-text pairs for histopathology
Wisdom Ikezogwo, Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, and Linda Shapiro · 2024
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Llava-next: Improved reasoning, ocr, and world knowledge, 2024
Haotian Liu, Chunyuan Li, Yuheng Li, Bo Li, Yuanhan Zhang, Sheng Shen, and Yong Jae Lee · 2024
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Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos
Mehmet Saygin Seyfioglu, Wisdom O Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, and Linda Shapiro · 2024
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Prism: A multi-modal generative foundation model for slide-level histopathology
George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D Kunz, Juan A Retamero, Gerard Oakley, David Klimstra, Christopher Kanan, et al · 2024
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A whole-slide foundation model for digital pathology from real-world data
Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, et al · 2024
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An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, et al · 2024
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Transferring the knowledge of vision-language model for pathological image classification
Ying Zeng and Jialong Zhu · 2024
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Virchow 2: Scaling self-supervised mixed magnification models in pathology
Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, James Hall, Thomas Fuchs, Nicolo Fusi, et al · 2024
Closest in time.
Wsi-vqa: Interpreting whole slide images by generative visual question answering
Pingyi Chen, Chenglu Zhu, Sunyi Zheng, Honglin Li, and Lin Yang · 2025
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