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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/26849
Title: Review of Feature Extraction and Classification Methods used in CAD System
Authors: Kumar, Arun
Ansari M.A.
Ashok A.
Sharma V.
Srivastava R.
Singh M.
Published in: Proceedings - IEEE 2020 2nd International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2020
2nd IEEE International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2020
Abstract: Computer Aided Diagnosis (CAD) system provides significant benefit to the medical industry by automatically detecting various diseases like cancer, tumor, fracture etc. Different medical images like X-ray, Computed Tomography (CT), Magnetic Resonance Image (MRI) etc act as input for CAD systems depending upon the type of disease. Categorization into whether disease/abnormality exists or not in that medical image acts as an output. Feature extraction and classification are the two the most important steps in designing CAD system. Accuracy of the CAD system depends upon the method used for feature extraction along with classification from the medical images. In the present study, review of various feature extraction and classification methods is done which are proposed by researchers for the CAD system in the past few years. Primary focus of the study is to discuss the advantages and limitations of different CAD system which are proposed for detecting cancer and tumor. © 2020 IEEE.
Citation: Proceedings - IEEE 2020 2nd International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2020 (2020): 222-227
URI: https://doi.org/10.1109/ICACCCN51052.2020.9362752
http://repository.iitr.ac.in/handle/123456789/26849
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: CAD
Cancer
classification
feature extraction
Support Vector machine (SVM)
tumor
ISBN: 9781728183374
Author Scopus IDs: 57223779688
57211649852
55009605100
Author Affiliations: Kumar, A., Uttrakhand Technical University, Department of Computer Science, Dehradun, India
Ansari, M.A., Gautam Buddha University, School of Engginering, G.Noida, India
Ashok, A., G.B.Pant University of Agr. Tech., Dean Academic, Pantnagar Uttarakhand, India
Funding Details: 
Appears in Collections:Conference Publications [HRE]

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