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It is very challenging to distinguish lung cancer and LTB without invasive procedures, which have their own risks of morbidity and even mortality.\n<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Our method uses a customized VGG16-based 15-layer 2-dimensional deep convolutional neural network (DNN) architecture with transfer learning. The DNN was trained and tested on sets of CT images set extracted from the National Lung Screening Trial and the National Institute of Allergy and Infectious Disease TB Portals. Performance of the DNN was evaluated under locked and step-wise unlocked pretrained weight conditions.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The DNN with unlocked pretrained weights achieved an accuracy of 90.4% with an F score of 90.1%.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Our findings support the potential for a DNN to serve as a noninvasive screening tool capable of reliably detecting and distinguishing between lung cancer and LTB.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12911-022-01904-8","type":"journal-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T03:29:41Z","timestamp":1655782181000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Discriminating TB lung nodules from early lung cancers using deep learning"],"prefix":"10.1186","volume":"22","author":[{"given":"Heng","family":"Tan","sequence":"first","affiliation":[]},{"given":"Jason H. 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All methods involved in the collection of these data were performed in accordance with the relevant guidelines and regulations. These date sets were individually approved as not requiring additional approval by the Research Protections Office of the University of Vermont.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"161"}}