{"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/automated-segmentation-of-pulmonary-lobes","title":"Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks","arxiv_id":"1904.09106","date":"2019-04-19","proceeding":null,"authors":["Wenjia Wang","Junxuan Chen","Jie Zhao","Ying Chi","Xuansong Xie","Li Zhang","Xian-Sheng Hua"],"abstract":"The identification of pulmonary lobes is of great importance in disease\ndiagnosis and treatment. A few lung diseases have regional disorders at lobar\nlevel. Thus, an accurate segmentation of pulmonary lobes is necessary. In this\nwork, we propose an automated segmentation of pulmonary lobes using\ncoordination-guided deep neural networks from chest CT images. We first employ\nan automated lung segmentation to extract the lung area from CT image, then\nexploit volumetric convolutional neural network (V-net) for segmenting the\npulmonary lobes. To reduce the misclassification of different lobes, we\ntherefore adopt coordination-guided convolutional layers (CoordConvs) that\ngenerate additional feature maps of the positional information of pulmonary\nlobes. The proposed model is trained and evaluated on a few publicly available\ndatasets and has achieved the state-of-the-art accuracy with a mean Dice\ncoefficient index of 0.947 $\\pm$ 0.044.","url_abs":"http://arxiv.org/abs/1904.09106v1","url_pdf":"http://arxiv.org/pdf/1904.09106v1.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":"automated-segmentation-of-pulmonary-lobes","repo_url":"https://github.com/woans0104/project_review","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"automated-segmentation-of-pulmonary-lobes","repo_url":"https://github.com/woans0104/sk_project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}