Monica Lupsor Platon
Orcid: 0000-0001-7918-1956
According to our database1,
Monica Lupsor Platon
authored at least 14 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques.
Sensors, March, 2023
2020
Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images.
Sensors, 2020
2019
Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning.
Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019
HCC Recognition Within Ultrasound Images Employing Advanced Textural Features with Deep Learning Techniques.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019
2017
Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017
The role of the cooccurrence matrix based on complex extended microstructures in discovering the cirrhosis severity grades within US images.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
Advanced Texture Analysis Techniques for Building Textural Models, with Applications in the Study of the Pathology Evolution Stages, based on Ultrasound Images.
Proceedings of the European Project Space on Intelligent Technologies, 2016
2013
Fractal Analysis of Elastographic Images for Automatic Detection of Diffuse Diseases of Salivary Glands: Preliminary Results.
Comput. Math. Methods Medicine, 2013
Discovering the cirrhosis grades from ultrasound images by using textural features and clustering methods.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013
2012
Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis.
Comput. Math. Methods Medicine, 2012
Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images.
Comput. Math. Methods Medicine, 2012
2011
Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis.
Comput. Biol. Medicine, 2011
Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C.
Artif. Intell. Medicine, 2011
Texture analysis as a noninvasive tool for fibrosis assessment in chronic hepatitis C. influence of expert dependent variability over the performance of texture analysis.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2011