MedSegNet-AXU: advanced segmentation and graph-based classification of multiple sclerosis lesions from 3D magnetic resonance imaging via radiomics and clinical data fusion

IF 4.5 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Complex & Intelligent Systems Pub Date : 2026-10-08 DOI:10.1007/s40747-026-02535-6

Wasimul Karim, Sayeem Been Zaman, Debopom Sutradhar, Ripon Kumar Debnath, Sami Azam, Kheng Cher Yeo, Yan Zhang, Mirjam Jonkman

引用次数: 0

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MedSegNet-AXU：通过放射组学和临床数据融合，从3D磁共振成像中对多发性硬化病变进行高级分割和基于图的分类

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来源期刊

Complex & Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

9.60

自引率

10.30%

发文量

297

期刊介绍： Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization. The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.