Convolutional neural network with group theory and random selection particle swarm optimizer for enhancing cancer image classification

Convolutional neural network with group theory and random selection particle swarm optimizer for enhancing cancer image classification

As an epitome of deep learning, convolutional neural network (CNN) has shown its advantages in solving many real-world problems. Successful CNN applications on medical prognosis and diagnosis have been achieved in recent years. Their common goal is to recognize the insights from the subtle details f...

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Bibliographic Details
Main Authors: Kun Lan, Gloria Li, Yang Jie, Rui Tang, Liansheng Liu, Simon Fong
Format: article
Language:EN
Published: AIMS Press 2021
Subjects:
convolutional neural network
metaheuristic
particle swarm optimization
group theory
random selection
symmetry
breast and lung cancer
image classification
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Online Access:https://doaj.org/article/394e106986ed436996a3ca00e0995af7
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https://doaj.org/article/394e106986ed436996a3ca00e0995af7

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