Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT

Sergey Pnev,Andrey Tulupov,Vladimir Berikov

2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)（2021）

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摘要

The instant diagnosis of acute ischemic stroke using non-contrast computed tomography brain scans is important for right decision upon a treatment. Artificial intelligence and deep learning tools can assist a radiology specialist in analysis and interpretation of CT images. This work aims at improving U-net model and testing it on real non-contrast CT images of acute ischemic stroke. In this work,...

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关键词

acute stroke,deep neural network,U-net,texture segmentation,attention,CBAM

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