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Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in various multimodal tasks.
The mammographic images analysis society digital mammogram database
John Suckling · 1994
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Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules
Junji Shiraishi, Shigehiko Katsuragawa, Junpei Ikezoe, Tsuneo Matsumoto, Takeshi Kobayashi, Ken-ichi Komatsu, Mitate Matsui, Hiroshi Fujita, Yoshie Kodera, and Kunio Doi · 2000
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Automatic recognition of corneal nerve structures in images from confocal microscopy
Fabio Scarpa, Enrico Grisan, and Alfredo Ruggeri · 2008
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Automatic classification of lymphoma images with transform-based global features
Nikita V Orlov, Wayne W Chen, David Mark Eckley, Tomasz J Macura, Lior Shamir, Elaine S Jaffe, and Ilya G Goldberg · 2010
Earlier work this paper cites.
Automatic evaluation of corneal nerve tortuosity in images from in vivo confocal microscopy
Fabio Scarpa, Xiaodong Zheng, Yuichi Ohashi, and Alfredo Ruggeri · 2011
Earlier work this paper cites.
Automated analysis of retinal images for detection of referable diabetic retinopathy
Michael D Abràmoff, James C Folk, Dennis P Han, Jonathan D Walker, David F Williams, Stephen R Russell, Pascale Massin, Beatrice Cochener, Philippe Gain, Li Tang, et al · 2013
Earlier work this paper cites.
The virtual skeleton database: an open access repository for biomedical research and collaboration
Michael Kistler, Serena Bonaretti, Marcel Pfahrer, Roman Niklaus, and Philippe Büchler · 2013
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Feedback on a publicly distributed image database: the messidor database
Etienne Decencière, Xiwei Zhang, Guy Cazuguel, Bruno Lay, Béatrice Cochener, Caroline Trone, Philippe Gain, Richard Ordonez, Pascale Massin, Ali Erginay, et al · 2014
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Texture characterization of bone radiograph images. application to osteoporosis diagnosis
Khaled Harrar · 2014
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Two public chest x-ray datasets for computer-aided screening of pulmonary diseases
Stefan Jaeger, Sema Candemir, Sameer Antani, Yì-Xiáng J Wáng, Pu-Xuan Lu, and George Thoma · 2014
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The multimodal brain tumor image segmentation benchmark (brats)
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, et al · 2014
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Identification of suitable fundus images using automated quality assessment methods
Uğur Şevik, Cemal Köse, Tolga Berber, and Hidayet Erdöl · 2014
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Microsoft coco captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, and C Lawrence Zitnick · 2015
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Med-node: A computer-assisted melanoma diagnosis system using non-dermoscopic images
Ioannis Giotis, Nynke Molders, Sander Land, Michael Biehl, Marcel F Jonkman, and Nicolai Petkov · 2015
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Mrbrains challenge: online evaluation framework for brain image segmentation in 3t mri scans
Adriënne M Mendrik, Koen L Vincken, Hugo J Kuijf, Marcel Breeuwer, Willem H Bouvy, Jeroen De Bresser, Amir Alansary, Marleen De Bruijne, Aaron Carass, Ayman El-Baz, et al · 2015
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A dataset for breast cancer histopathological image classification
Fabio A Spanhol, Luiz S Oliveira, Caroline Petitjean, and Laurent Heutte · 2015
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https://aidasub-cleceliachy.grand-challenge.org/Description/ , 2016
Analysis of images to detect abnormalities in endoscopy · 2016
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A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a dwi standard
Carlo W Cereda, Søren Christensen, Bruce CV Campbell, Nishant K Mishra, Michael Mlynash, Christopher Levi, Matus Straka, Max Wintermark, Roland Bammer, Gregory W Albers, et al · 2016
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David Gutman, Noel CF Codella, Emre Celebi, Brian Helba, Michael Marchetti, Nabin Mishra, and Allan Halpern · 2016
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Texture descriptors ensembles enable image-based classification of maturation of human stem cell-derived retinal pigmented epithelium
Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Heli Skottman, Kati Juuti-Uusitalo, and Jari Hyttinen · 2016
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Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin S Kirby, John B Freymann, Keyvan Farahani, and Christos Davatzikos · 2017
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Intel & mobileodt cervical cancer screening
BenO, JL Jones, H Kumar, Meg Risdal, M Rao, Vadim Sherman, Vipul, Wendy Kan, and Yau Ben-Or · 2017
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Longitudinal multiple sclerosis lesion segmentation: resource and challenge
Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L Cuzzocreo, Elizabeth Magrath, Adrian Gherman, Julia Button, James Nguyen, Ferran Prados, Carole H Sudre, et al · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
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Isles 2015-a public evaluation benchmark for ischemic stroke lesion segmentation from multispectral mri
Oskar Maier, Bjoern H Menze, Janina Von der Gablentz, Levin Häni, Mattias P Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, et al · 2017
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Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection
Konstantin Pogorelov, Kristin Ranheim Randel, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Concetto Spampinato, Duc-Tien Dang-Nguyen, Mathias Lux, Peter Thelin Schmidt, et al · 2017
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Mura: Large dataset for abnormality detection in musculoskeletal radiographs
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L Ball, et al · 2017
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A dictionary learning approach for human sperm heads classification
Fariba Shaker, S Amirhassan Monadjemi, Javad Alirezaie, and Ahmad Reza Naghsh-Nilchi · 2017
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Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, et al · 2018
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Knee osteoarthritis severity grading dataset
Pingjun Chen · 2018
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Histopathologic cancer detection
Will Cukierski · 2018
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Pupil localization using geodesic distance
Radovan Fusek · 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
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Identifying medical diagnoses and treatable diseases by image-based deep learning
Daniel S Kermany, Michael Goldbaum, Wenjia Cai, Carolina CS Valentim, Huiying Liang, Sally L Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan, et al · 2018
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A dataset of clinically generated visual questions and answers about radiology images
Jason J Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman · 2018
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A new cervical cytology dataset for nucleus detection and image classification (cervix93) and methods for cervical nucleus detection, 2018
Hady Ahmady Phoulady and Peter R. Mouton · 2018
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Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Piyush Sharma, Nan Ding, Sebastian Goodman, and Radu Soricut · 2018
Cited alongside, same era.
The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl, Cliff Rosendahl, and Harald Kittler · 2018
Cited alongside, same era.
Isles 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral mri
Stefan Winzeck, Arsany Hakim, Richard McKinley, José AADSR Pinto, Victor Alves, Carlos Silva, Maxim Pisov, Egor Krivov, Mikhail Belyaev, Miguel Monteiro, et al · 2018
Cited alongside, same era.
https://challenge.isic-archive.com/landing/2019/
Isic 2019 challenge · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki · 2021
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A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, et al · 2021
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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
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
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The medical segmentation decathlon
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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
Cited alongside, same era.
Noel Codella, Veronica Rotemberg, Philipp Tschandl, M Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, et al · 2019
Cited alongside, same era.
Cnns for automatic glaucoma assessment using fundus images: an extensive validation
Andres Diaz-Pinto, Sandra Morales, Valery Naranjo, Thomas Köhler, Jose M Mossi, and Amparo Navea · 2019
Cited alongside, same era.
Isbi 2019 c-nmc challenge: Classification in cancer cell imaging
Anubha Gupta and Ritu Gupta · 2019
Cited alongside, same era.
A novel deep learning method for automatic assessment of human sperm images
Soroush Javadi and Seyed Abolghasem Mirroshandel · 2019
Cited alongside, same era.
Aptos 2019 blindness detection
Karthik, Maggie, and Sohier Dane · 2019
Cited alongside, same era.
Grand challenge on mr brain segmentation at miccai 2018, 2019
Hugo J Kuijf and E Bennink · 2019
Cited alongside, same era.
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, et al · 2022
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Coyo-700m: Image-text pair dataset
Minwoo Byeon, Beomhee Park, Haecheon Kim, Sungjun Lee, Woonhyuk Baek, and Saehoon Kim · 2022
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Digestpath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system
Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, et al · 2022
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Adam challenge: Detecting age-related macular degeneration from fundus images
Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenole Quellec, Sarah Matta, et al · 2022
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Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, and Arash Koochek · 2022
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Isles 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Moritz R Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Valenzuela, Mauricio Reyes, Maria Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, et al · 2022
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A web-scraped skin image database of monkeypox, chickenpox, smallpox, cowpox, and measles
Towhidul Islam, Mohammad Arafat Hussain, Forhad Uddin Hasan Chowdhury, and BM Riazul Islam · 2022
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Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation
Yuanfeng Ji, Haotian Bai, Chongjian Ge, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhanng, Wanling Ma, Xiang Wan, et al · 2022
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Deepdrid: Diabetic retinopathy—grading and image quality estimation challenge
Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, et al · 2022
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Radimagenet: an open radiologic deep learning research dataset for effective transfer learning
Xueyan Mei, Zelong Liu, Philip M Robson, Brett Marinelli, Mingqian Huang, Amish Doshi, Adam Jacobi, Chendi Cao, Katherine E Link, Thomas Yang, et al · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Olives dataset: Ophthalmic labels for investigating visual eye semantics
Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, and Charles Wykoff · 2022
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The extreme cardiac mri analysis challenge under respiratory motion (cmrxmotion)
Shuo Wang, Chen Qin, Chengyan Wang, Kang Wang, Haoran Wang, Chen Chen, Cheng Ouyang, Xutong Kuang, Chengliang Dai, Yuanhan Mo, et al · 2022
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https://tianchi.aliyun.com/dataset/93926 , 2023
Diabetic retinopathy arranged - retina images with class labels for classification · 2023
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https://www.kaggle.com/datasets/jr2ngb/cataractdataset , 2023
Cataract image dataset · 2023
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https://www.kaggle.com/datasets/paultimothymooney/blood-cells , 2023
Blood cell images · 2023
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https://www.kaggle.com/datasets/obulisainaren/retinal-oct-c8/data , 2023
Retinal oct - c8 dataset · 2023
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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 Fung, and Steven Hoi · 2023
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Airogs: Artificial intelligence for robust glaucoma screening challenge
Coen De Vente, Koenraad A Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, et al · 2023
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Huihui Fang, Fei Li, Junde Wu, Huazhu Fu, Xu Sun, José Ignacio Orlando, Hrvoje Bogunović, Xiulan Zhang, and Yanwu Xu · 2023
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Llama-adapter v2: Parameter-efficient visual instruction model
Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, et al · 2023
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Geochat: Grounded large vision-language model for remote sensing
Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Abhijit Das, Salman Khan, and Fahad Shahbaz Khan · 2023
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Pmc-clip: Contrastive language-image pre-training using biomedical documents
Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
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Med-flamingo: a multimodal medical few-shot learner
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, and Jure Leskovec · 2023
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Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, and Jianfeng Gao · 2023
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Tiny lvlm-ehub: Early multimodal experiments with bard
Wenqi Shao, Yutao Hu, Peng Gao, Meng Lei, Kaipeng Zhang, Fanqing Meng, Peng Xu, Siyuan Huang, Hongsheng Li, Yu Qiao, et al · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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mplug-owl: Modularization empowers large language models with multimodality
Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, et al · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Embodiedgpt: Vision-language pre-training via embodied chain of thought
Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, and Ping Luo · 2024
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