Comparison between Transfer Learning and Data Augmentation on Medical Images Classification

Ahmad Al-Qerem,Amer Abu Salem,Issam Jebreen,Ahmad Nabot,Ahmad Samhan

2021 22nd International Arab Conference on Information Technology (ACIT)（2021）

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摘要

Image classification is a hot research topic in today’s society and an important direction in the field of image processing research. In this paper, we examined the classification improvement of two strategies in images data set with small samples: the first approach is data augmentation using the Generative Adversarial Networks (GANs). (GANs) are a mechanism for the production of artificial data ...

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关键词

Training,Analytical models,Transfer learning,Fingers,Training data,Generative adversarial networks,Data models

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