Computer Science ›› 2015, Vol. 42 ›› Issue (5): 315-319.doi: 10.11896/j.issn.1002-137X.2015.05.064

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Medical Image Classification Method Based on Discriminative Restricted Boltzmann Machine

CHEN Na, JIANG Yun, ZOU Li, SHEN Jian, HU Xue-wei and LI Zhi-lei   

  • Online:2018-11-14 Published:2018-11-14

Abstract: With the development of computer techniques,an increasing number of analytic techniques on medical images by using computers have been developed.Nowadays,applying data-mining methods to the analysis of medical images is becoming popular.The classification performance of these methods usually has a strong dependence on the statistical features extracted from medical images in advance.However,the process of feature extraction is often influenced by many subjective factors such as personal experience.We applied a new method to mammography called discriminative restricted boltzmann machine,which is recently developed in machine learning.Discriminative restricted boltzmann machine can learn the features automatically from the labeled data and can also perform as a classifier.Discriminative is a kind of undirected discriminative model.The experimental results show that DRBM outperforms other methods based on feature extraction in the aspect of classification accuracy rate.

Key words: Data mining,Discriminative restricted boltzmann machine (DRBM),Feature learning,Mammography,Undirected discriminative model

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