{"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/towards-robust-lung-segmentation-in-chest","title":"Towards Robust Lung Segmentation in Chest Radiographs with Deep Learning","arxiv_id":"1811.12638","date":"2018-11-30","proceeding":null,"authors":["Jyoti Islam","Yanqing Zhang"],"abstract":"Automated segmentation of Lungs plays a crucial role in the computer-aided\ndiagnosis of chest X-Ray (CXR) images. Developing an efficient Lung\nsegmentation model is challenging because of difficulties such as the presence\nof several edges at the rib cage and clavicle, inconsistent lung shape among\ndifferent individuals, and the appearance of the lung apex. In this paper, we\npropose a robust model for Lung segmentation in Chest Radiographs. Our model\nlearns to ignore the irrelevant regions in an input Chest Radiograph while\nhighlighting regions useful for lung segmentation. The proposed model is\nevaluated on two public chest X-Ray datasets (Montgomery County, MD, USA, and\nShenzhen No. 3 People's Hospital in China). The experimental result with a DICE\nscore of 98.6% demonstrates the robustness of our proposed lung segmentation\napproach.","url_abs":"http://arxiv.org/abs/1811.12638v1","url_pdf":"http://arxiv.org/pdf/1811.12638v1.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":"towards-robust-lung-segmentation-in-chest","repo_url":"https://github.com/IlliaOvcharenko/lung-segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"towards-robust-lung-segmentation-in-chest","repo_url":"https://github.com/trupewate/lung_segmentation_tutorial","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}