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Updated: Feb 6, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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一个混合的swin变压器-BiLSTM框架和集体学习,用于多模式脑中风检测和风险预测

Md Mahfuz Ahmed1, Md Maruf Hossain1, Md Rakibul Hasan Rakib1

  • 1Department of Biomedical Engineering, Islamic University, Kushtia, 7003, Bangladesh; Bio-Imaging Research Laboratory, Islamic University, Kushtia, 7003, Bangladesh.

Computers in biology and medicine
|February 4, 2026
PubMed
概括

这项研究引入了一种新的AI框架,用于使用脑CT扫描和临床数据准确检测中风. 该模型实现了高精度,改善了早期诊断和风险预测,以获得更好的患者结果.

关键词:
大脑中风 脑中风 脑中风深度学习是一种深度学习.整体分类器 集成分类器可解释的人工智能斯温变压器-LSTM 的

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