Deep Transfer Learning for Modality Classification of Medical Images

Deep Transfer Learning for Modality Classification of Medical Images

Medical images are valuable for clinical diagnosis and decision making. Image modality is an important primary step, as it is capable of aiding clinicians to access required medical image in retrieval systems. Traditional methods of modality classification are dependent on the choice of hand-crafted...

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Bibliographic Details
Main Authors: Yuhai Yu, Hongfei Lin, Jiana Meng, Xiaocong Wei, Hai Guo, Zhehuan Zhao
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Information
Subjects:
modality classification
medical image
convolutional neural network
transfer learning
data augmentation
ImageCLEF
Online Access:https://www.mdpi.com/2078-2489/8/3/91

Internet

https://www.mdpi.com/2078-2489/8/3/91

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