Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis.
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| Title: | Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis. |
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| Authors: | Al Sakib A; Department of Information Technology, Westcliff University, Irvine, CA, USA., Swapno SMR; Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh., Ahamed F; Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh., Mohiuddin AB; Department of Information Technology, Westcliff University, Irvine, CA, USA., Bhuiyan MIH; Department of Business Analytics, International American University, Los Angeles, CA, USA., Khan S; Department of Business Analytics, International American University, Los Angeles, CA, USA., Khushbu KG; Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh., Haque R; Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh., Alahmadi TJ; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia., Moni MA; Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.; AI & Digital Health Technology, Rural Health Research Institute, Charles Sturt University, Orange, NSW, Australia.; AI & Digital Health Technology, Artificial Intelligence and Cyber Futures Centre, Charles Sturt University, NSW, Australia. |
| Source: | Digital health [Digit Health] 2026 Mar 31; Vol. 12, pp. 20552076261438923. Date of Electronic Publication: 2026 Mar 31 (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: | 10.1177/20552076261438923 |
