Medical lesion segmentation by combining multimodal images with modality weighted UNet-Reference-Cited by-同舟云学术

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Medical lesion segmentation by combining multimodal images with modality weighted UNet

Published:2022-04-07 Issue:6 Volume:49 Page:3692-3704
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Zhu Xiner¹,Wu Yichao¹,Hu Haoji¹,Zhuang Xianwei¹,Yao Jincao²³,Ou Di²³,Li Wei²³,Song Mei²³,Feng Na²³,Xu Dong²³

Affiliation:

1. College of Information Science and Electronic Engineering Zhejiang University Hangzhou China

2. Cancer Hospital of the University of Chinese Academy of Sciences Zhejiang Cancer Hospital Hangzhou China

3. Institute of Basic Medicine and Cancer (IBMC) Chinese Academy of Sciences Hangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15610

Reference54 articles.

1. Texture analysis of medical images

2. Intracranial hemorrhage detection by 3D voxel segmentation on brain CT images

3. Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection

4. A survey on deep learning in medical image analysis

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1. SwinCross: Cross‐modal Swin transformer for head‐and‐neck tumor segmentation in PET/CT images;Medical Physics;2023-09-30

2. BSMM-Net: Multi-modal neural network based on bilateral symmetry for nasopharyngeal carcinoma segmentation;Frontiers in Human Neuroscience;2023-01-10

3. Abdomen CT multi‐organ segmentation using token‐based MLP‐Mixer;Medical Physics;2022-12-20

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