Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images

Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images

The emergence of deep-learning methods in different computer vision tasks has proved to offer increased detection, recognition or segmentation accuracy when large annotated image datasets are available. In the case of medical image processing and computer-aided diagnosis within ultrasound images, wh...

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Bibliographic Details
Main Authors: Raluca Brehar, Delia-Alexandrina Mitrea, Flaviu Vancea, Tiberiu Marita, Sergiu Nedevschi, Monica Lupsor-Platon, Magda Rotaru, Radu Ioan Badea
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
Image Processing, Convolutional Neural Networks (CNN), Pattern Recognition, Ultrasound Images, Hepatocellular Carcinoma (HCC), Automatic Diagnosis
Online Access:https://www.mdpi.com/1424-8220/20/11/3085

Internet

https://www.mdpi.com/1424-8220/20/11/3085

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