Deep neural network-based robust framework for automated skin lesion segmentation and analysis.
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| Title: | Deep neural network-based robust framework for automated skin lesion segmentation and analysis. |
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| Authors: | Mehdar KM; Department of Anatomy, Faculty of Medicine, Najran University, Najran, Kingdom of Saudi Arabia., Soomro TA; Artificial Intelligence and Cyber Futures Institute, Charles University, Bathurst, NSW, Australia., Ali A; Biomedical & Instruments Engineering Department, College of Engineering and Energy, Abdullah Al Salem University, Khaldiya, Kuwait., Bin Ubaid F; Computer Science Department, Sukkur IBA University, Sukkur, Sindh, Pakistan., Irfan M; Electrical Engineering Department, College of Engineering, Najran University, Najran, Kingdom of Saudi Arabia., Halawani HT; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Kingdom of Saudi Arabia., Mashraqi AM; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Kingdom of Saudi Arabia., Mohammed Elshafie SE; Department of Anatomy, Faculty of Medicine, Najran University, Najran, Kingdom of Saudi Arabia., Asiri AA; Radiological Sciences department, College of Applied Medical Sciences, Najran University, Najran, Kingdom of Saudi Arabia., Abdelkafi Magzoub M; Department of Electrical Engineering, Sudan Technological University, National University, Khartoum, Sudan. |
| Source: | Digital health [Digit Health] 2026 Mar 27; Vol. 12, pp. 20552076261427501. Date of Electronic Publication: 2026 Mar 27 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41913781 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep neural network-based robust framework for automated skin lesion segmentation and analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mehdar+KM%22">Mehdar KM</searchLink>; Department of Anatomy, Faculty of Medicine, Najran University, Najran, Kingdom of Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Soomro+TA%22">Soomro TA</searchLink>; Artificial Intelligence and Cyber Futures Institute, Charles University, Bathurst, NSW, Australia.<br /><searchLink fieldCode="AU" term="%22Ali+A%22">Ali A</searchLink>; Biomedical & Instruments Engineering Department, College of Engineering and Energy, Abdullah Al Salem University, Khaldiya, Kuwait.<br /><searchLink fieldCode="AU" term="%22Bin+Ubaid+F%22">Bin Ubaid F</searchLink>; Computer Science Department, Sukkur IBA University, Sukkur, Sindh, Pakistan.<br /><searchLink fieldCode="AU" term="%22Irfan+M%22">Irfan M</searchLink>; Electrical Engineering Department, College of Engineering, Najran University, Najran, Kingdom of Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Halawani+HT%22">Halawani HT</searchLink>; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Kingdom of Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Mashraqi+AM%22">Mashraqi AM</searchLink>; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Kingdom of Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Mohammed+Elshafie+SE%22">Mohammed Elshafie SE</searchLink>; Department of Anatomy, Faculty of Medicine, Najran University, Najran, Kingdom of Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Asiri+AA%22">Asiri AA</searchLink>; Radiological Sciences department, College of Applied Medical Sciences, Najran University, Najran, Kingdom of Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Abdelkafi+Magzoub+M%22">Abdelkafi Magzoub M</searchLink>; Department of Electrical Engineering, Sudan Technological University, National University, Khartoum, Sudan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2026 Mar 27; Vol. 12, pp. 20552076261427501. <i>Date of Electronic Publication: </i>2026 Mar 27 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications+Ltd%22">SAGE Publications Ltd </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101690863 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2055-2076 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220552076%22">20552076 </searchLink><i>NLM ISO Abbreviation: </i>Digit Health <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41913781 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/20552076261427501 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 20552076261427501 Titles: – TitleFull: Deep neural network-based robust framework for automated skin lesion segmentation and analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mehdar KM – PersonEntity: Name: NameFull: Soomro TA – PersonEntity: Name: NameFull: Ali A – PersonEntity: Name: NameFull: Bin Ubaid F – PersonEntity: Name: NameFull: Irfan M – PersonEntity: Name: NameFull: Halawani HT – PersonEntity: Name: NameFull: Mashraqi AM – PersonEntity: Name: NameFull: Mohammed Elshafie SE – PersonEntity: Name: NameFull: Asiri AA – PersonEntity: Name: NameFull: Abdelkafi Magzoub M IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 03 Text: 2026 Mar 27 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2055-2076 Numbering: – Type: volume Value: 12 Titles: – TitleFull: Digital health Type: main |
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