Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images-Reference-Cited by-同舟云学术

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Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images

Published:2021-07 Issue: Volume:68 Page:102666
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Singh Anushikha^ORCID,Lall Brejesh,Panigrahi B.K.,Agrawal Anjali,Agrawal Anurag,Thangakunam Balamugesh^ORCID,Christopher D.J.^ORCID

Funder

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Citrus Research and Development Foundation

Department of Biotechnology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference57 articles.

1. Rising use of diagnostic medical imaging in a large integrated health system;Smith-Bindman;Health Aff. (Project Hope),2008

2. Chest tuberculosis: radiological review and "imaging recommendation;Bhalla;Ind. J. Radiol. Imag.,2015

3. Difficulties in the Interpretation of Chest Radiography;Delrue,2011

4. Accuracy of chest radiograph interpretation by emergency physicians;Alaseri;Emerg. Radiol.,2009

5. Computer-aided diagnosis in chest radiography: a survey;Ginneken;IEEE Trans. Med. Imaging,2001

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