A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment-Reference-Cited by-同舟云学术

A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Ben-Haim Tal¹,Sofer Ron Moshe¹,Ben-Arie Gal²,Shelef Ilan²,Raviv Tammy Riklin¹

Affiliation:

1. Ben-Gurion University,School of Electrical and Computer Engineering

2. Soroka Medical Center,Department of Radiology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897656.pdf?arnumber=9897656

Reference16 articles.

1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

2. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

3. Measures of the Amount of Ecologic Association Between Species

4. Imagenet: A large-scale hierarchical image database;deng;2009 IEEE Conference on Computer Vision and Pattern Recognition,2009

5. Covid-19 ct lung and infection segmentation dataset;jun;Zenodo Apr,2020

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