Literature DB >> 1102429

Computer classification of pneumoconiosis from radiographs of coal workers.

E L Hall, W O Crawford, F E Roberts.   

Abstract

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Year:  1975        PMID： 1102429     DOI： 10.1109/tbme.1975.324475

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN： 0018-9294            Impact factor:   4.538


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  9 in total

1.  Reading chest radiographs for pneumoconiosis by computer.

Authors:  J R Jagoe; K A Paton
Journal:  Br J Ind Med       Date:  1975-11

2.  Computerized analysis of pneumoconiosis in digital chest radiography: effect of artificial neural network trained with power spectra.

Authors:  Eiichiro Okumura; Ikuo Kawashita; Takayuki Ishida
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

3.  An automatic computer-aided detection scheme for pneumoconiosis on digital chest radiographs.

Authors:  Peichun Yu; Hao Xu; Ying Zhu; Chao Yang; Xiwen Sun; Jun Zhao
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

4.  Support vector machine model for diagnosing pneumoconiosis based on wavelet texture features of digital chest radiographs.

Authors:  Biyun Zhu; Hui Chen; Budong Chen; Yan Xu; Kuan Zhang
Journal:  J Digit Imaging       Date:  2014-02       Impact factor: 4.056

Review 5.  Computer-Aided Diagnosis of Coal Workers' Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review.

Authors:  Liton Devnath; Peter Summons; Suhuai Luo; Dadong Wang; Kamran Shaukat; Ibrahim A Hameed; Hanan Aljuaid
Journal:  Int J Environ Res Public Health       Date:  2022-05-25       Impact factor: 4.614

6.  High resolution multidetector CT-aided tissue analysis and quantification of lung fibrosis.

Authors:  Vanessa A Zavaletta; Brian J Bartholmai; Richard A Robb
Journal:  Acad Radiol       Date:  2007-07       Impact factor: 3.173

7.  Development of CAD based on ANN analysis of power spectra for pneumoconiosis in chest radiographs: effect of three new enhancement methods.

Authors:  Eiichiro Okumura; Ikuo Kawashita; Takayuki Ishida
Journal:  Radiol Phys Technol       Date:  2014-01-12

8.  A deep learning-based model for screening and staging pneumoconiosis.

Authors:  Liuzhuo Zhang; Ruichen Rong; Qiwei Li; Donghan M Yang; Bo Yao; Danni Luo; Xiong Zhang; Xianfeng Zhu; Jun Luo; Yongquan Liu; Xinyue Yang; Xiang Ji; Zhidong Liu; Yang Xie; Yan Sha; Zhimin Li; Guanghua Xiao
Journal:  Sci Rep       Date:  2021-01-26       Impact factor: 4.379

9.  Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays.

Authors:  Liton Devnath; Zongwen Fan; Suhuai Luo; Peter Summons; Dadong Wang
Journal:  Int J Environ Res Public Health       Date:  2022-09-06       Impact factor: 4.614
  9 in total

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