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Chimeric U-Net – Modifying the standard U-Net towards Explainability

2022-12-02

Abstract excerpt

Healthcare guided by semantic segmentation has the potential to improve our quality of life through early and accurate disease detection. Convolutional Neural Networks, especially the U-Net-based architectures, are currently the state-of-the-art learningbased segmentation methods and have given unprecedented performances. However, their decision-making processes are still an active field of research. In order to r...

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Identifiers and source

Literature Corpus work
13b05350-734d-52c8-a153-189c6a1fb329
DOI
10.1101/2022.12.01.518699
Open publication

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Chimeric U-Net – Modifying the standard U-Net towards ExplainabilityDOI 10.1101/2022.12.01.518699
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