{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/torchxrayvision-a-library-of-chest-x-ray","title":"TorchXRayVision: A library of chest X-ray datasets and models","arxiv_id":"2111.00595","date":"2021-10-31","proceeding":null,"authors":["Joseph Paul Cohen","Joseph D. Viviano","Paul Bertin","Paul Morrison","Parsa Torabian","Matteo Guarrera","Matthew P Lungren","Akshay Chaudhari","Rupert Brooks","Mohammad Hashir","Hadrien Bertrand"],"abstract":"TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models. It provides a common interface and common pre-processing chain for a wide set of publicly available chest X-ray datasets. In addition, a number of classification and representation learning models with different architectures, trained on different data combinations, are available through the library to serve as baselines or feature extractors.","url_abs":"https://arxiv.org/abs/2111.00595v1","url_pdf":"https://arxiv.org/pdf/2111.00595v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"torchxrayvision-a-library-of-chest-x-ray","repo_url":"https://github.com/mlmed/torchxrayvision","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"medical-image-retrieval","task_name":"Medical Image Retrieval"},{"task_slug":"medical-image-segmentation","task_name":"Medical Image Segmentation"},{"task_slug":"medical-x-ray-image-segmentation","task_name":"Medical X-Ray Image Segmentation"},{"task_slug":"multi-class-classification","task_name":"Multi-class Classification"},{"task_slug":"representation-learning","task_name":"Representation Learning"},{"task_slug":"small-data","task_name":"Small Data Image Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2111.00595","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}