Application of artificial neural networks for the classification of liver lesions by image texture parameters
- 1 January 1996
- journal article
- Published by Elsevier in Ultrasound in Medicine & Biology
- Vol. 22 (9) , 1177-1181
- https://doi.org/10.1016/s0301-5629(96)00144-5
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Use of gray value distribution of run lengths for texture analysisPublished by Elsevier ,2003
- In vivo liver differentiation by ultrasound using an artificial neural networkThe Journal of the Acoustical Society of America, 1994
- Neural network approach for computer-assisted interpretation of ultrasound images of the gallbladderEuropean Journal of Radiology, 1993
- Improving the Distinction Between Benign and Malignant Breast Lesions: The Value of Sonographic Texture AnalysisUltrasonic Imaging, 1993
- Application of Neural Networks for the Classification of Diffuse Liver Disease by Quantitative EchographyUltrasonic Imaging, 1993
- Improvement in specificity of ultrasonography for diagnosis of breast tumors by means of artificial intelligenceMedical Physics, 1992
- Application of neural nets to ultrasound tissue characterizationUltrasonic Imaging, 1991
- Echographic tissue characterization in diffuse parenchymal liver disease: Correlation of image structure with histologyUltrasonic Imaging, 1990
- Computerized ultrasound B-scan texture analysis of experimental fatty liver disease: Influence of total lipid content and fat deposit distributionUltrasonic Imaging, 1990
- Scintigraphy and Ultrasonography of Hepatic HemangiomaRadiology, 1979