Optimization of FireNet for Liver Lesion Classification

Optimization of FireNet for Liver Lesion Classification

In recent years, deep learning techniques, and in particular convolutional neural networks (CNNs) methods have demonstrated a superior performance in image classification and visual object recognition. In this work, we propose a classification of four types of liver lesions, namely, hepatocellular c...

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Bibliographic Details
Main Authors: Gedeon Kashala Kabe, Yuqing Song, Zhe Liu
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Electronics
Subjects:
deep learning
classification of liver lesions
computed tomography (CT)
particle swarm optimization (PSO)
convolutional neural networks (CNN)
squeezeNet
Online Access:https://www.mdpi.com/2079-9292/9/8/1237

Internet

https://www.mdpi.com/2079-9292/9/8/1237

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