Hepatocellular Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using Advanced Machine Learning Methods
Hepatocellular Carcinoma (HCC) is the most common malignant liver tumor, being present in 70% of liver cancer cases. It usually evolves on the top of the cirrhotic parenchyma. The most reliable method for HCC diagnosis is the needle biopsy, which is an invasive, dangerous method. In our research, sp...
Main Authors: | Delia Mitrea, Radu Badea, Paulina Mitrea, Stelian Brad, Sergiu Nedevschi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/6/2202 |
Similar Items
-
Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization
by: Giorgio Biagetti, et al.
Published: (2018-08-01) -
A Multiclassifier Approach to Motor Unit Potential Classification for EMG Signal Decomposition
by: Rasheed, Sarbast
Published: (2006) -
A Multiclassifier Approach to Motor Unit Potential Classification for EMG Signal Decomposition
by: Rasheed, Sarbast
Published: (2006) -
Advanced Fusion Imaging and Contrast-Enhanced Imaging (CT/MRI–CEUS) in Oncology
by: Vincent Schwarze, et al.
Published: (2020-09-01) -
Optimal Face-Iris Multimodal Fusion Scheme
by: Omid Sharifi, et al.
Published: (2016-06-01)