{"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/ctcovid19-automatic-covid-19-model-for","title":"Ctcovid19: Automatic Covid-19 Model for Computed Tomography Scans Using Deep Learning","arxiv_id":null,"date":"2024-08-09","proceeding":"Based Intelligence Medicine 2024 8","authors":["Carlos Antunes","João Rodrigues","António Cunha"],"abstract":"Summary COVID-19 is an extremely contagious respiratory sickness instigated by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Common symptoms encompass fever, cough, fatigue, and breathing difficulties, often leading to hospitalization and fatalities in severe cases. CTCovid19 is a novel model tailored for COVID-19 detection, specifically honing in on a distinct deep learning structure, ResNet-50 trained with ImageNet serves as the foundational framework for our model. To enhance its capability to capture pertinent features related to COVID-19 patterns in Computed Tomography scans, the network underwent fine-tuning through layer adjustments and the addition of new ones. The model achieved accuracy rates that went from 97.0% to 99.8% across three widely recognized and documented datasets dedicated to COVID-19 detection.","url_abs":"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4925383","url_pdf":"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4925383","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":"ctcovid19-automatic-covid-19-model-for","repo_url":"https://github.com/kucaantunes/AI-Health","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null},{"paper_slug":"ctcovid19-automatic-covid-19-model-for","repo_url":"https://github.com/kucaantunes/Automatic_Detection_of_Covid-19_on_CT_Scans","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"ctcovid19-automatic-covid-19-model-for","repo_url":"https://github.com/kucaantunes/Image-Classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"covid-19-lung-ct-scans","name":"COVID-19 Lung CT Scans","full_name":"Mehrad Aria"},{"slug":"sars-cov-2-ct-scan-dataset-a-large-dataset-of","name":"SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}