HADCNet: Automatic segmentation of COVID-19 infection based on a hybrid attention dense connected network with dilated convolution

Author:

Chen Ying,Zhou TaohuiORCID,Chen YiORCID,Feng Longfeng,Zheng Cheng,Liu Lan,Hu Liping,Pan Bujian

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference55 articles.

1. Detection of SARS-CoV-2 in different types of clinical specimens;Wang;JAMA,2020

2. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases[J];Ai;Radiology,2020

3. A review of deep learning in medical imaging: imaging traits, technology trends, case studies with progress highlights, and future promises[J];Zhou;Proc. IEEE,2021

4. Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection[J];Zhang;IEEE Trans. Med. Imag.,2020

5. Generative adversarial networks in medical image augmentation: a review[J];Chen;Comput. Biol. Med.,2022

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