The following publications are possibly variants of this publication:
- Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound ImagesRaluca Brehar, Delia Alexandrina Mitrea, Flaviu Ionut Vancea, Tiberiu Marita, Sergiu Nedevschi, Monica Lupsor Platon, Magda Rotaru, Radu Badea. sensors, 20(11):3085, 2020. [doi]
- Hepatocellular Carcinoma Segmentation within Ultrasound Images using Convolutional Neural NetworksFlaviu Vancea, Delia Mitrea, Sergiu Nedevschi, Magda Rotaru, Horia Stefanescu, Radu Badea. iccp2 2019: 483-490 [doi]
- Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine LearningRaluca Brehar, Delia Mitrea, Sergiu Nedevschi, Monica Platon-Lupsor, Magda Rotaru, Radu Badea. iccp2 2019: 491-497 [doi]
- The role of the superior order GLCM and of the generalized cooccurrence matrices in the characterization and automatic diagnosis of the hepatocellular carcinoma, based on ultrasound imagesDelia Mitrea, Sergiu Nedevschi, Radu Badea. iccp2 2011: 197-204 [doi]
- The role of the superior order GLCM in improving the automatic diagnosis of the hepatocellular carcinoma based on ultrasound imagesDelia Mitrea, Sergiu Nedevschi, Radu Badea. arbeitspl 2011: 602-606 [doi]