Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques

Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques

Hepatocellular Carcinoma (HCC) is the most frequent malignant liver tumor and the third cause of cancer-related deaths worldwide. For many years, the golden standard for HCC diagnosis has been the needle biopsy, which is invasive and carries risks. Computerized methods are due to achieve a noninvasi...

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Bibliographic Details
Main Authors: Delia-Alexandrina Mitrea, Raluca Brehar, Sergiu Nedevschi, Monica Lupsor-Platon, Mihai Socaciu, Radu Badea
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
convolutional neural networks (CNN)
conventional machine learning (CML)
advanced texture analysis methods
combination techniques
classification performance
hepatocellular carcinoma (HCC)
Online Access:https://www.mdpi.com/1424-8220/23/5/2520

Internet

https://www.mdpi.com/1424-8220/23/5/2520

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