Classifiers and Medical Image Processing: A Review
Author(s):
Shweta V. Marulkar, Prof. (Dr.) Bhavana Narain
Keywords:
Digital image processing, Nail features Analysis, disease prediction, Supervised Learning, artificial neural network.
Abstract
Digital image processing have wide scope in globe such as military, medical, robotics, forensic science etc. Now a day for such type of applications feature extraction of digital image is important part of processing. Classification of medical images is mandatory step in pattern recognition. Classification improves the efficiency and accuracy. Image pre-processing, segmentation, feature extraction can be carried out for classification process. Preliminary disease detection rate depends on all the steps but classification has its own importance in pattern recognition. Different important classifier such a support vector machine (SVM), artificial neural network (ANN), decision tree, KNN etc. Enlisted classifier has their importance in one or the other way. In this paper there is a discussion about many classifiers. Input to the proposed system is nail image from which nail texture, shape and colour features are extracted and then by considering these features analysis of nail is done which will then be used for the diagnosis of various diseases. This proposed system will surely help the medical practitioners in the early diagnosis of diseases.
Article Details
Unique Paper ID: 153362

Publication Volume & Issue: Volume 8, Issue 6

Page(s): 558 - 564
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