3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography-Reference-Cited by-同舟云学术

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3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography

Published:2022-11 Issue: Volume:150 Page:106153
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Wang Lin^ORCID,Ye Xiufen^ORCID,Zhang Donghao,He Wanji,Ju Lie,Luo Yi,Luo Huan,Wang Xin^ORCID,Feng Wei,Song Kaimin,Zhao Xin,Ge Zongyuan^ORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference47 articles.

1. A hierarchical probabilistic U-Net for modeling multi-scale ambiguities;Kohl,2019

2. Medical Matting: A new perspective on medical segmentation with uncertainty;Wang,2021

3. Applications of deep learning in fundus images: A review;Li;Med. Image Anal. (MedIA),2021

4. Mammograms classification: A review;Elbatel,2022

5. Lung image database consortium: Developing a resource for the medical imaging research community;Armato III;Radiology,2004

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Segmentation Method of Serialized Human Body Slices based on Matting Strategy and Skeleton Extraction;Current Medical Imaging Reviews;2023-10-23

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