MH UNet: A Multi-Scale Hierarchical Based Architecture for Medical Image Segmentation

UNet and its variations achieve state-of-the-art performances in medical image segmentation. In end-to-end learning, the training with high-resolution medical images achieves higher accuracy for medical image segmentation. However, the network depth, a massive number of parameters, and low receptive...

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Auteurs principaux: Parvez Ahmad, Hai Jin, Roobaea Alroobaea, Saqib Qamar, Ran Zheng, Fady Alnajjar, Fathia Aboudi
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/0c79ab71e3b744aea7085540d141fd80
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