{"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/compnet-complementary-segmentation-network","title":"CompNet: Complementary Segmentation Network for Brain MRI Extraction","arxiv_id":"1804.00521","date":"2018-03-27","proceeding":null,"authors":["Raunak Dey","Yi Hong"],"abstract":"Brain extraction is a fundamental step for most brain imaging studies. In\nthis paper, we investigate the problem of skull stripping and propose\ncomplementary segmentation networks (CompNets) to accurately extract the brain\nfrom T1-weighted MRI scans, for both normal and pathological brain images. The\nproposed networks are designed in the framework of encoder-decoder networks and\nhave two pathways to learn features from both the brain tissue and its\ncomplementary part located outside of the brain. The complementary pathway\nextracts the features in the non-brain region and leads to a robust solution to\nbrain extraction from MRIs with pathologies, which do not exist in our training\ndataset. We demonstrate the effectiveness of our networks by evaluating them on\nthe OASIS dataset, resulting in the state of the art performance under the\ntwo-fold cross-validation setting. Moreover, the robustness of our networks is\nverified by testing on images with introduced pathologies and by showing its\ninvariance to unseen brain pathologies. In addition, our complementary network\ndesign is general and can be extended to address other image segmentation\nproblems with better generalization.","url_abs":"http://arxiv.org/abs/1804.00521v2","url_pdf":"http://arxiv.org/pdf/1804.00521v2.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":"compnet-complementary-segmentation-network","repo_url":"https://github.com/raun1/Complementary_Segmentation_Network","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"compnet-complementary-segmentation-network","repo_url":"https://github.com/SenthilCaesar/CNN-Brain-MRI-Segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"compnet-complementary-segmentation-network","repo_url":"https://github.com/pnlbwh/CNN-Diffusion-MRIBrain-Segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"compnet-complementary-segmentation-network","repo_url":"https://github.com/raun1/Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"compnet-complementary-segmentation-network","repo_url":"https://github.com/raun1/ISBI-2020-LITS_Hybrid_Comp_Net","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"compnet-complementary-segmentation-network","repo_url":"https://github.com/raun1/LITS_Hybrid_Comp_Net","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"compnet-complementary-segmentation-network","repo_url":"https://github.com/raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"compnet-complementary-segmentation-network","repo_url":"https://github.com/raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"},{"task_slug":"skull-stripping","task_name":"Skull Stripping"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}