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

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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
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  Data: Accuracy assessment of a hybrid deep learning and image processing approach for lung CT segmentation in external radiotherapy.
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  Data: <searchLink fieldCode="AU" term="%22Sekkat+H%22">Sekkat H</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Khallouqi+A%22">Khallouqi A</searchLink>; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco.<br /><searchLink fieldCode="AU" term="%22Berrada+Y%22">Berrada Y</searchLink>; Department of Radiotherapy, International Clinic of Settat, Settat, Morocco.; Faculty of Medicine and Pharmacy, Hassan II University of Casablanca, Casablanca, Morocco.<br /><searchLink fieldCode="AU" term="%22Talbi+M%22">Talbi M</searchLink>; Higher Institute of Nursing Professions and Health Techniques, Rabat, Morocco.<br /><searchLink fieldCode="AU" term="%22Bannan+A%22">Bannan A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Mouden+OE%22">Mouden OE</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Halimi+A%22">Halimi A</searchLink>; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco.<br /><searchLink fieldCode="AU" term="%22Madkouri+Y%22">Madkouri Y</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Rhazouani+OE%22">Rhazouani OE</searchLink>; Sciences and Engineering of Biomedicals and Biophysics Laboratory, Higher Institute of Health Sciences, Hassan 1 University, Settat, Morocco.
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  Data: <searchLink fieldCode="JN" term="%22100885761%22">Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology</searchLink> [Rep Pract Oncol Radiother] 2026 Jul 01; Vol. 31 (3), pp. 380-388. <i>Date of Electronic Publication: </i>2026 Jul 01 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Via+Medica%22">Via Medica </searchLink><i>Country of Publication: </i>Poland <i>NLM ID: </i>100885761 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1507-1367 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215071367%22">15071367 </searchLink><i>NLM ISO Abbreviation: </i>Rep Pract Oncol Radiother <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.5603/rpor.111328
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      – Code: eng
        Text: English
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        StartPage: 380
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            – D: 01
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              Text: 2026 Jul 01
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              Y: 2026
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