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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| ISSN: | 2055-2076 |
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| DOI: | 10.1177/20552076261427501 |
