Accuracy assessment of a hybrid deep learning and image processing approach for lung CT segmentation in external radiotherapy.

Saved in:
Bibliographic Details
Title: Accuracy assessment of a hybrid deep learning and image processing approach for lung CT segmentation in external radiotherapy.
Authors: Sekkat H; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco.; Higher Institute of Nursing Professions and Health Techniques, Rabat, Morocco., Khallouqi A; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco., Berrada Y; Department of Radiotherapy, International Clinic of Settat, Settat, Morocco.; Faculty of Medicine and Pharmacy, Hassan II University of Casablanca, Casablanca, Morocco., Talbi M; Higher Institute of Nursing Professions and Health Techniques, Rabat, Morocco., Bannan A; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco.; Department of Radiotherapy, International Clinic of Settat, Settat, Morocco., Mouden OE; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco.; Department of Radiotherapy, International Clinic of Settat, Settat, Morocco., Halimi A; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco., Madkouri Y; Laboratory of Electronic Systems, Information Processing, Mechanics and Energetics, Faculty of Sciences, Ibn Tofail Kenitra University, Kenitra, Morocco.; Department of Radiology, 3GCOM Company, Rabat, Morocco., Rhazouani OE; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco.
Source: Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology [Rep Pract Oncol Radiother] 2026 Jul 01; Vol. 31 (3), pp. 380-388. Date of Electronic Publication: 2026 Jul 01 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Via Medica Country of Publication: Poland NLM ID: 100885761 Publication Model: eCollection Cited Medium: Print ISSN: 1507-1367 (Print) Linking ISSN: 15071367 NLM ISO Abbreviation: Rep Pract Oncol Radiother Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1507-1367
DOI:10.5603/rpor.111328