Mar 9, 2017

Thorax disease diagnosis using deep convolutional neural network

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Jie ChenMatti Pietikainen

Abstract

Computer aided diagnosis (CAD) is an important issue, which can significantly improve the efficiency of doctors. In this paper, we propose a deep convolutional neural network (CNN) based method for thorax disease diagnosis. We firstly align the images by matching the interest points between the images, and then enlarge the dataset by using Gaussian scale space theory. After that we use the enlarged dataset to train a deep CNN model and apply the obtained model for the diagnosis of new test data. Our experimental results show our method achieves very promising results.

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Mentioned in this Paper

Biological Neural Networks
Aids Diagnosis
Coronary Arteriosclerosis
Neural Stem Cells
Neural Network Simulation
Mental Disorders
Chest
Depth
Entire Thorax
Silo (Dataset)

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