AEDCN-Net: Accurate and Efficient Deep Convolutional Neural Network Model for Medical Image Segmentation

Image segmentation was significantly enhanced after the emergence of deep learning (DL) methods. In particular, deep convolutional neural networks (DCNNs) have assisted DL-based segmentation models to achieve state-of-the-art performance in fields critical to human beings, such as medicine. However,...

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Auteurs principaux: Bekhzod Olimov, Seok-Joo Koh, Jeonghong Kim
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/5a00f2f25a5f4e15940e37a144bf41c4
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