Carotid plaque segmentation and classification using MRI-based plaque texture analysis and convolutional neural network.
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| Title: | Carotid plaque segmentation and classification using MRI-based plaque texture analysis and convolutional neural network. |
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| Authors: | Ahmed Abu Alregal ZH; School of Computer Science and Technology, Central South University, Changsha, China., Amran GA; Department of Management Science and Engineering, Dalian University of Technology, Dalian, China., Al-Bakhrani AA; College of Software Engineering, Dalian University of Technology, Dalian, China., Abdul Amir Mohammad S; Department of Management Science and Engineering, Dalian University of Technology, Dalian, China., Alabrah A; STC's Artificial Intelligence Chair, Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia., Alkhalil L; STC's Artificial Intelligence Chair, Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia., Ibrahim A; School of Automation, Central South University, Changsha, China., Ghaffar M; Department of Computer Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.; Department of Radiology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2025 Jun 20; Vol. 12, pp. 1502830. Date of Electronic Publication: 2025 Jun 20 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2025.1502830 |
