A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images

Article ID	Journal	Published Year	Pages	File Type
4958213	Computer Methods and Programs in Biomedicine	2017	26 Pages	PDF

Abstract

We propose a robust automated end-to-end classifier for biomedical images based on a domain transferred deep convolutional neural network model that shows a highly reliable and accurate performance which has been confirmed on several public biomedical image datasets.

Keywords

Data augmentation Transfer learning Convolutional neural network Deep learning

Related Topics

Physical Sciences and Engineering Computer Science Computer Science (General)

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A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images

Authors

Shuchao Pang, Zhezhou Yu, Mehmet A. Orgun,