These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 38195224)

  • 21. [Discussion of grading method of small opacity profusion of pneumoconiosis on CT scans and the corresponding reference images].
    Zhai RC; Li NC; Liu XD; Zhu SK; Hu BF; Zhang AN; Tong X; Wang GD; Wan YJ; Ma Y
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2021 Jun; 39(6):453-457. PubMed ID: 34218566
    [No Abstract]   [Full Text] [Related]  

  • 22. Support vector machine model for diagnosing pneumoconiosis based on wavelet texture features of digital chest radiographs.
    Zhu B; Chen H; Chen B; Xu Y; Zhang K
    J Digit Imaging; 2014 Feb; 27(1):90-7. PubMed ID: 23836078
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Intelligent Image Diagnosis of Pneumoconiosis Based on Wavelet Transform-Derived Texture Features.
    Wang Z; Hu M; Zeng M; Wang G
    Comput Math Methods Med; 2022; 2022():2037019. PubMed ID: 35341000
    [TBL] [Abstract][Full Text] [Related]  

  • 24. [Application of multi-slice spiral CT refarmation reconstruction technique and DR photography of pneumoconiosis patients at stage three].
    Zhang YJ; Zeng FX; Wu TQ; Chen XK; Ye GX
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2021 Sep; 39(9):681-684. PubMed ID: 34624952
    [No Abstract]   [Full Text] [Related]  

  • 25. Influence of tube voltage on digitized image qualityof patients exposed to occupational dust: phantoms and clinical studies.
    Wang X; Liu D; Xuan X; Duan J; Yuan H
    Chin Med J (Engl); 2014; 127(16):2940-4. PubMed ID: 25131232
    [TBL] [Abstract][Full Text] [Related]  

  • 26. An automatic computer-aided detection scheme for pneumoconiosis on digital chest radiographs.
    Yu P; Xu H; Zhu Y; Yang C; Sun X; Zhao J
    J Digit Imaging; 2011 Jun; 24(3):382-93. PubMed ID: 20174852
    [TBL] [Abstract][Full Text] [Related]  

  • 27. [Technical quality control of chest x-rays for the health surveillance of workers exposed to the risk of pneumoconiosis: proposal for a qualitative screening method].
    Manzari G; Valenti E; D'Epifanio F; Quercia A; Cardona E
    Med Lav; 2003; 94(2):242-9. PubMed ID: 12852207
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Computer-Aided Diagnosis of Coal Workers' Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review.
    Devnath L; Summons P; Luo S; Wang D; Shaukat K; Hameed IA; Aljuaid H
    Int J Environ Res Public Health; 2022 May; 19(11):. PubMed ID: 35682023
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The development and evaluation of a computerized diagnosis scheme for pneumoconiosis on digital chest radiographs.
    Zhu B; Luo W; Li B; Chen B; Yang Q; Xu Y; Wu X; Chen H; Zhang K
    Biomed Eng Online; 2014 Oct; 13():141. PubMed ID: 25277489
    [TBL] [Abstract][Full Text] [Related]  

  • 30. [Research advances in imaging techniques related to the diagnosis of pneumoconiosis].
    Wang NN; Jin Y; Wang CX
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2023 Oct; 41(10):876-880. PubMed ID: 37935559
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography.
    Wang X; Yu J; Zhu Q; Li S; Zhao Z; Yang B; Pu J
    Occup Environ Med; 2020 Sep; 77(9):597-602. PubMed ID: 32471837
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Chest radiography in the diagnosis of pneumoconiosis.
    Pham QT
    Int J Tuberc Lung Dis; 2001 May; 5(5):478-82. PubMed ID: 11336280
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Black Lung Benefits Act: standards for chest radiographs. Final rule.
    Office of Workers' Compensation Programs, Labor
    Fed Regist; 2014 Apr; 79(74):21606-15. PubMed ID: 24741754
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Comparing film and digital radiographs for reliability of pneumoconiosis classifications: a modeling approach.
    Sen A; Lee SY; Gillespie BW; Kazerooni EA; Goodsitt MM; Rosenman KD; Lockey JE; Meyer CA; Petsonk EL; Wang ML; Franzblau A
    Acad Radiol; 2010 Apr; 17(4):511-9. PubMed ID: 20207319
    [TBL] [Abstract][Full Text] [Related]  

  • 35. High-resolution CT in simple coal workers' pneumoconiosis. Lack of correlation with pulmonary function tests and arterial blood gas values.
    Collins LC; Willing S; Bretz R; Harty M; Lane E; Anderson WH
    Chest; 1993 Oct; 104(4):1156-62. PubMed ID: 8404184
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Digital chest radiography.
    MacMahon H; Doi K
    Clin Chest Med; 1991 Mar; 12(1):19-32. PubMed ID: 2009743
    [TBL] [Abstract][Full Text] [Related]  

  • 37. [Analysis of active surveillance results of pneumoconiosis in Jiangsu Province in 2019].
    Wang XY; Zhu BL; Han L
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2023 Dec; 41(12):927-931. PubMed ID: 38195230
    [No Abstract]   [Full Text] [Related]  

  • 38. Validation of the international labour office digitized standard images for recognition and classification of radiographs of pneumoconiosis.
    Halldin CN; Petsonk EL; Laney AS
    Acad Radiol; 2014 Mar; 21(3):305-11. PubMed ID: 24507420
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Reading chest radiographs for pneumoconiosis by computer.
    Jagoe JR; Paton KA
    Br J Ind Med; 1975 Nov; 32(4):267-72. PubMed ID: 1103955
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development of standard digital images for pneumoconiosis.
    Lee WJ; Choi BS; Kim SJ; Park CK; Park JS; Tae S; Hering KG
    J Korean Med Sci; 2011 Nov; 26(11):1403-8. PubMed ID: 22065894
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.