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

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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Bibliographic Details
Main Authors: Parvez Ahmad, Hai Jin, Roobaea Alroobaea, Saqib Qamar, Ran Zheng, Fady Alnajjar, Fathia Aboudi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
BraTS
convolutions
dense connections
encoder-decoder
ISLES
MICCAI
Online Access:https://ieeexplore.ieee.org/document/9585109/

Internet

https://ieeexplore.ieee.org/document/9585109/

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