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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Detalles Bibliográficos

Autores principales:	Bekhzod Olimov, Seok-Joo Koh, Jeonghong Kim
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2021-01-01
Colección:	IEEE Access
Materias:	Computational efficiency deep convolutional neural networks medical image segmentation
Acceso en línea:	https://ieeexplore.ieee.org/document/9617630/
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