DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks

DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks

Due to the high availability of large-scale annotated image datasets, paramount progress has been made in deep convolutional neural networks (CNNs) for image classification tasks. CNNs enable learning highly representative and hierarchical local image features directly from data. However, the availa...

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Bibliographic Details
Main Authors: Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolution neural networks
class decomposition
data irregularity
medical image classification
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9075155/

Internet

https://ieeexplore.ieee.org/document/9075155/

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