Literature DB >> 783075

Automated computer screening of chest radiographs for pneumoconiosis.

A F Turner, R P Kruger, W B Thompson.   

Abstract

The results of two complementary approaches for performing diagnostic screening for the presence of coal workers' pneumoconiosis (CWP) from the routine posterior-anterior chest radiograph are presented. The first is a digital approach utilizing the measurement of image texture, while the second uses hybrid optical-digital methods involving the optical Fourier transform. Both approaches yield classification results comparable to experienced radiologists.

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Year:  1976        PMID: 783075     DOI: 10.1097/00004424-197607000-00002

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  9 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.  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 3.  Diffusion-weighted imaging and texture analysis: current role for diffuse liver disease.

Authors:  Sofia Gourtsoyianni; Joao Santinha; Celso Matos; Nikolaos Papanikolaou
Journal:  Abdom Radiol (NY)       Date:  2020-10-16

4.  Lung segmentation in digital radiographs.

Authors:  E Pietka
Journal:  J Digit Imaging       Date:  1994-05       Impact factor: 4.056

5.  Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks.

Authors:  S Katsuragawa; K Doi; H MacMahon; L Monnier-Cholley; T Ishida; T Kobayashi
Journal:  J Digit Imaging       Date:  1997-08       Impact factor: 4.056

Review 6.  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

7.  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

8.  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

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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