Advanced texture analysis and classification methods for the automatic diagnosis of the Hepatocellular Carcinoma

Advanced texture analysis and classification methods for the automatic diagnosis of the Hepatocellular Carcinoma

Introduction: The hepatocellular carcinoma (HCC) is the most frequent malignant liver tumor, appearing in 75% of liver cancer cases. The golden standard for HCC diagnosis is the needle biopsy, but it is invasive, dangerous. We develop non-invasive, computerized methods for the automatic and compute...

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Bibliographic Details
Main Authors: Delia MITREA, Sergiu NEDEVSCHI, Paulina MITREA, Raluca BREHAR, Flaviu I VANCEA, Monica PLATON(LUPŞOR), Horia ŞTEFĂNESCU, Radu BADEA
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2019-09-01
Series:Applied Medical Informatics
Subjects:
Hepatocellular Carcinoma (HCC)
Ultrasound Images
Advanced Texture Analysis
Deep Learning
Automatic and Computer Assisted Diagnosis
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/737

Internet

https://ami.info.umfcluj.ro/index.php/AMI/article/view/737

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