HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation-Reference-Cited by-同舟云学术

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HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation

Published:2024-03 Issue: Volume:170 Page:108013
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Fu Bangkang^ORCID,Peng Yunsong^ORCID,He Junjie^ORCID,Tian Chong,Sun Xinhuan,Wang Rongpin^ORCID

Publisher

Elsevier BV

Reference53 articles.

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2. Large-scale gastric cancer screening and localization using multi-task deep neural network;Yu;Neurocomputing,2021

3. Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images;Naser;Comput. Biol. Med.,2020

4. Deep learning-based delineation of head and neck organs at risk: geometric and dosimetric evaluation;van Rooij;Int. J. Radiat. Oncol. Biol. Phys.,2019

5. Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI;Laukamp;Eur. Radiol.,2019

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1. DmADs-Net: dense multiscale attention and depth-supervised network for medical image segmentation;International Journal of Machine Learning and Cybernetics;2024-06-21

2. GETNet: Group Normalization Shuffle and Enhanced Channel Self-Attention Network Based on VT-UNet for Brain Tumor Segmentation;Diagnostics;2024-06-14

3. 2MGAS-Net: multi-level multi-scale gated attentional squeezed network for polyp segmentation;Signal, Image and Video Processing;2024-05-10

4. UTAC-Net: A Semantic Segmentation Model for Computer-Aided Diagnosis for Ischemic Region Based on Nuclear Medicine Cerebral Perfusion Imaging;Electronics;2024-04-12

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