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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Detalhes bibliográficos
Principais autores: Bekhzod Olimov, Seok-Joo Koh, Jeonghong Kim
Formato: Artigo
Idioma:English
Publicado em: IEEE 2021-01-01
coleção:IEEE Access
Assuntos:
Acesso em linha:https://ieeexplore.ieee.org/document/9617630/