Literature DB >> 1098844

A texture analysis method in classification of coal workers' pneumoconiosis.

R S Ledley, H K Huang, L S Rotolo.   

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Year:  1975        PMID： 1098844     DOI： 10.1016/0010-4825(75)90018-9

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN： 0010-4825            Impact factor:   4.589


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  8 in total

1.  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

2.  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

3.  Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages.

Authors:  Eiichiro Okumura; Ikuo Kawashita; Takayuki Ishida
Journal:  J Digit Imaging       Date:  2017-08       Impact factor: 4.056

Review 4.  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

Review 5.  Meningioma Radiomics: At the Nexus of Imaging, Pathology and Biomolecular Characterization.

Authors:  Lorenzo Ugga; Gaia Spadarella; Lorenzo Pinto; Renato Cuocolo; Arturo Brunetti
Journal:  Cancers (Basel)       Date:  2022-05-25       Impact factor: 6.575

6.  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

7.  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

8.  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
  8 in total

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