An Automated Method for Classifying Liver Lesions in Contrast-Enhanced Ultrasound Imaging Based on Deep Learning Algorithms.

Mădălin Mămuleanu Marinela-Cristiana UrhuțLarisa Daniela SăndulescuConstantin KamalAna-Maria PătrașcuAlin Gabriel IonescuMircea-Sebastian ȘerbănescuCostin Teodor Streba

Published in: Diagnostics (Basel, Switzerland) (2023)

The main goal of the study was to develop an automated method of classifying liver lesions in CEUS video investigations. Being modular, the system can be a useful tool for gastroenterologists or medical students: either as a second opinion system or a tool to automatically extract TICs.

Keyphrases

contrast enhanced
deep learning
magnetic resonance imaging
medical students
diffusion weighted
magnetic resonance
machine learning
computed tomography
diffusion weighted imaging
convolutional neural network
oxidative stress
artificial intelligence
anti inflammatory
contrast enhanced ultrasound