{"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/postoperative-glioblastoma-segmentation","title":"Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models","arxiv_id":"2404.11725","date":"2024-04-17","proceeding":null,"authors":["Santiago Cepeda","Roberto Romero","Daniel Garcia-Perez","Guillermo Blasco","Luigi Tommaso Luppino","Samuel Kuttner","Ignacio Arrese","Ole Solheim","Live Eikenes","Anna Karlberg","Angel Perez-Nunez","Trinidad Escudero","Roberto Hornero","Rosario Sarabia"],"abstract":"Accurately assessing tumor removal is paramount in the management of glioblastoma. We developed a pipeline using MRI scans and neural networks to segment tumor subregions and the surgical cavity in postoperative images. Our model excels in accurately classifying the extent of resection, offering a valuable tool for clinicians in assessing treatment effectiveness.","url_abs":"https://arxiv.org/abs/2404.11725v1","url_pdf":"https://arxiv.org/pdf/2404.11725v1.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":"postoperative-glioblastoma-segmentation","repo_url":"https://gitlab.com/picture-production/picture-nnunet-package","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"postoperative-glioblastoma-segmentation","repo_url":"https://github.com/smcch/Postoperative-Glioblastoma-Segmentation","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"management","task_name":"Management"}],"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}