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Arxiv
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AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening
- Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, which occurs due to the rupture of blood vessels in or around the brain.
- The primary aim of this study is to detect the occurrence or non-occurrence of ICH, followed by determining the type of subdural hemorrhage (SDH).
- A novel approach for ICH detection is introduced by adding two layers to the co-scale convolutional attention (CCA) classifier architecture.
- By combining features from computed tomography (CT) scan images and using a boosting neural network, the detection accuracy is improved.
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