{"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/training-of-a-skull-stripping-neural-network","title":"Training of a Skull-Stripping Neural Network with efficient data augmentation","arxiv_id":"1810.10853","date":"2018-10-25","proceeding":null,"authors":["Gabriele Valvano","Nicola Martini","Andrea Leo","Gianmarco Santini","Daniele Della Latta","Emiliano Ricciardi","Dante Chiappino"],"abstract":"Skull-stripping methods aim to remove the non-brain tissue from acquisition\nof brain scans in magnetic resonance (MR) imaging. Although several methods\nsharing this common purpose have been presented in literature, they all suffer\nfrom the great variability of the MR images. In this work we propose a novel\napproach based on Convolutional Neural Networks to automatically perform the\nbrain extraction obtaining cutting-edge performance in the NFBS public\ndatabase. Additionally, we focus on the efficient training of the neural\nnetwork designing an effective data augmentation pipeline. Obtained results are\nevaluated through Dice metric, obtaining a value of 96.5%, and processing time,\nwith 4.5s per volume.","url_abs":"http://arxiv.org/abs/1810.10853v1","url_pdf":"http://arxiv.org/pdf/1810.10853v1.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":"training-of-a-skull-stripping-neural-network","repo_url":"https://github.com/mahima672000/Brain-MRI-Segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"skull-stripping","task_name":"Skull Stripping"}],"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}