{"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/a-convolutional-neural-network-for-the","title":"A Convolutional Neural Network for the Automatic Diagnosis of Collagen VI related Muscular Dystrophies","arxiv_id":"1901.11074","date":"2019-01-30","proceeding":null,"authors":["Adrián Bazaga","Mònica Roldán","Carmen Badosa","Cecilia Jiménez-Mallebrera","Josep M. Porta"],"abstract":"The development of machine learning systems for the diagnosis of rare\ndiseases is challenging mainly due the lack of data to study them. Despite this\nchallenge, this paper proposes a system for the Computer Aided Diagnosis (CAD)\nof low-prevalence, congenital muscular dystrophies from confocal microscopy\nimages. The proposed CAD system relies on a Convolutional Neural Network (CNN)\nwhich performs an independent classification for non-overlapping patches tiling\nthe input image, and generates an overall decision summarizing the individual\ndecisions for the patches on the query image. This decision scheme points to\nthe possibly problematic areas in the input images and provides a global\nquantitative evaluation of the state of the patients, which is fundamental for\ndiagnosis and to monitor the efficiency of therapies.","url_abs":"http://arxiv.org/abs/1901.11074v1","url_pdf":"http://arxiv.org/pdf/1901.11074v1.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":"a-convolutional-neural-network-for-the","repo_url":"https://github.com/AdrianBZG/Muscular-Dystrophy-Diagnosis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}