Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images-Reference-Cited by-同舟云学术

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Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images

Published:2022-09 Issue: Volume:252 Page:109278
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Minglei,Li Xiang,Jiang Yuchen,Zhang Jiusi,Luo Hao,Yin Shen

Funder

Harbin Institute of Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference43 articles.

1. A novel coronavirus associated with severe acute respiratory syndrome;Ksiazek;N. Engl. J. Med.,2003

2. Commentary: Middle east respiratory syndrome coronavirus (mers-cov): announcement of the coronavirus study group;De Groot;J. Virology,2013

3. A novel coronavirus outbreak of global health concern;Wang;Lancet,2020

4. Chest CT for typical coronavirus disease 2019 (COVID-19) pneumonia: Relationship to negative RT-PCR testing;Xie;Radiology,2020

5. SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images;Muhammad;Knowl.-Based Syst.,2022

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