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A hybrid quantum-classical framework for MRI-based deep brain tumor segmentation and classification.

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Title: A hybrid quantum-classical framework for MRI-based deep brain tumor segmentation and classification.
Authors: Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia., Shukla PK; Professor, Department of Computer Science and Engineering & Deputy Dean Research, Amity School of Engineering and Technology (ASET), Amity University, Mumbai, 410206, Maharashtra, India., Hassan MM; Department of Biology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia., Maarof EY; Faculty of Computer Studies, Arab Open University, Jeddah, 12015, Saudi Arabia., Mishra S; Electronic Department, Samrat Ashok Technological Institute, Vidisha, Madhya Pradesh, India., Barraood SO; College of Computers and Information Technology, Hadhramout University, Almasaken, Yemen. s.barraood@hu.edu.ye., Salhi A; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Source: Scientific reports [Sci Rep] 2026 Jul 03. Date of Electronic Publication: 2026 Jul 03.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A hybrid quantum-classical framework for MRI-based deep brain tumor segmentation and classification.
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  Data: <searchLink fieldCode="AU" term="%22Soliman+NF%22">Soliman NF</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Shukla+PK%22">Shukla PK</searchLink>; Professor, Department of Computer Science and Engineering & Deputy Dean Research, Amity School of Engineering and Technology (ASET), Amity University, Mumbai, 410206, Maharashtra, India.<br /><searchLink fieldCode="AU" term="%22Hassan+MM%22">Hassan MM</searchLink>; Department of Biology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Maarof+EY%22">Maarof EY</searchLink>; Faculty of Computer Studies, Arab Open University, Jeddah, 12015, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Mishra+S%22">Mishra S</searchLink>; Electronic Department, Samrat Ashok Technological Institute, Vidisha, Madhya Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Barraood+SO%22">Barraood SO</searchLink>; College of Computers and Information Technology, Hadhramout University, Almasaken, Yemen. s.barraood@hu.edu.ye.<br /><searchLink fieldCode="AU" term="%22Salhi+A%22">Salhi A</searchLink>; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Jul 03. <i>Date of Electronic Publication: </i>2026 Jul 03.
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        Value: 10.1038/s41598-026-58823-1
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              Text: 2026 Jul 03
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              Y: 2026
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