{"id":1487,"date":"2021-10-01T16:24:33","date_gmt":"2021-10-01T20:24:33","guid":{"rendered":"https:\/\/mlmed.org\/w\/?p=1487"},"modified":"2023-05-14T17:59:14","modified_gmt":"2023-05-14T21:59:14","slug":"torchxrayvision","status":"publish","type":"post","link":"https:\/\/mlmed.org\/w\/torchxrayvision\/","title":{"rendered":"TorchXRayVision: A library for chest X-ray datasets and models. Including pre-trained models."},"content":{"rendered":"<p>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.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1493,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[19,17],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/posts\/1487"}],"collection":[{"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/comments?post=1487"}],"version-history":[{"count":3,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/posts\/1487\/revisions"}],"predecessor-version":[{"id":1499,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/posts\/1487\/revisions\/1499"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/media\/1493"}],"wp:attachment":[{"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/media?parent=1487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/categories?post=1487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/tags?post=1487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}