Abstract
Chest computed tomography (CT) based analysis and diagnosis of the Coronavirus Disease 2019 (COVID-19) plays a key role in combating the outbreak of the pandemic that has rapidly spread worldwide. To date, the disease has infected more than 18 million people with over 690k deaths reported. Reverse transcription polymerase chain reaction (RT-PCR) is the current gold standard for clinical diagnosis but may produce false positives; thus, chest CT based diagnosis is considered more viable. However, accurate screening is challenging due to the difficulty in annotation of infected areas, curation of large datasets, and the slight discrepancies between COVID-19 and other viral pneumonia. In this study, we propose an attention-based end-to-end weakly supervised framework for the rapid diagnosis of COVID-19 and bacterial pneumonia based on multiple instance learning (MIL). We further incorporate unsupervised contrastive learning for improved accuracy with attention applied both in spatial and latent contexts, herein we propose Dual Attention Contrastive based MIL (DA-CMIL). DA-CMIL takes as input several patient CT slices (considered as bag of instances) and outputs a single label. Attention based pooling is applied to implicitly select...Continue Reading
References
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
May 18, 2016·IEEE Transactions on Pattern Analysis and Machine Intelligence·Dingwen ZhangJunwei Han
Aug 5, 2017·Medical Image Analysis·Geert LitjensClara I Sánchez
Feb 24, 2018·Cell·Daniel S KermanyKang Zhang
Jul 17, 2019·Nature Medicine·Gabriele CampanellaThomas J Fuchs
Feb 8, 2020·JAMA : the Journal of the American Medical Association·Dawei WangZhiyong Peng
Feb 20, 2020·BMJ : British Medical Journal·Elisabeth Mahase
Feb 23, 2020·Radiology·Zi Yue ZuLong Jiang Zhang
Feb 27, 2020·Radiology·Tao AiLiming Xia
Feb 29, 2020·European Journal of Nuclear Medicine and Molecular Imaging·Xi XuJinxin Liu
Apr 20, 2020·IEEE Reviews in Biomedical Engineering·Feng ShiDinggang Shen
May 13, 2020·IEEE Transactions on Medical Imaging·Yujin OhJong Chul Ye
May 18, 2020·Cell·Kang ZhangGuangyu Wang
May 20, 2020·Nature Medicine·Xueyan MeiYang Yang
Jul 31, 2020·IEEE Transactions on Medical Imaging·Zhongyi HanWei Zhang
Jul 31, 2020·IEEE Transactions on Medical Imaging·Xi OuyangDinggang Shen
Nov 18, 2020·Applied Soft Computing·Bo WangJiahong Dong
Nov 24, 2020·Medical Physics·Fei ShanYuxin Shi
Feb 3, 2021·Journal of Korean Medical Science·Myeongkyun KangJune Hong Ahn
Feb 26, 2021·European Radiology·Shuai WangBo Xu
Mar 12, 2021·IEEE/ACM Transactions on Computational Biology and Bioinformatics·Ying SongYuedong Yang
Mar 18, 2021·Physics in Medicine and Biology·Feng ShiDinggang Shen
Mar 30, 2021·Radiology. Cardiothoracic Imaging·Ming-Yen NgMichael D Kuo
Mar 30, 2021·Radiology. Cardiothoracic Imaging·Lu HuangLiming Xia