RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions-Reference-Cited by-同舟云学术

RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions

Published:2021-11 Issue: Volume:578 Page:559-573
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ding Weiping^ORCID,Abdel-Basset Mohamed,Hawash Hossam

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Six Talent Peaks Project in Jiangsu Province

Qinglan Project of Jiangsu Province of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference47 articles.

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5. Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic, Chaos;Castillo;Solitons Fractals,2020

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