A Multi-Input Neural Network for Microwave Hemorrhagic Stroke Identification Using Multimodal Data

<b>Background:</b> Hemorrhagic stroke is a life-threatening cerebrovascular disease, and early identification is crucial for timely clinical intervention. Microwave imaging is non-ionizing, portable, and low-cost, and thus has potential for pre-hospital and bedside screening; however, existing metho...

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Главные авторы:	Zekun Zhang, Heng Liu, Ruide Li, Huiyuan Zhu, Fan Li, Xianchao Zhang, Yao Zhai
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2026-02-01
Серии:	Brain Sciences
Предметы:	deep learning hemorrhagic stroke identification multimodal fusion microwave imaging temporal encoder
Online-ссылка:	https://www.mdpi.com/2076-3425/16/3/274
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