Optimized Deformable Model-based Segmentation and Deep Learning for Lung Cancer Classification
Author:
Affiliation:
1. Department of Electronics & Instrumentation Engineering, JSS Academy of Technical Education, Bengaluru, VTU, India
2. Dept. of Electronics & Telecommunication Engineering, M S Ramaiah Institute of Technology, Bengaluru, VTU, India.
Publisher
University of Tokushima Faculty of Medicine
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
https://www.jstage.jst.go.jp/article/jmi/69/3.4/69_244/_pdf
Reference24 articles.
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2. 2. Park S, Lee SJ, Weiss E, Motai Y : Intra and inter-fractional variation prediction of lung tumors using fuzzy deep learning. IEEE Journal of Translational Engineering in Health and Medicine 4(1) : 1-12, 2016
3. 3. Sharma D, Jindal G : Computer aided diagnosis system for detection of lung cancer in CT scan images. International Journal of Computer and Electrical Engineering 3(5) : 714-718, 2011
4. 4. Shankar KA, De Albuquerque VHC : Optimal feature-based multi-kernel SVM approach for thyroid disease classification. The Journal of supercomputing 76(2) : 1128-1143, 2020
5. 5. Sarker P, Shuvo MMH, Hossain Z, Hasan S : Segmentation and classification of lung tumor from 3D CT image using K-means clustering algorithm. In proceedings of 4th International Conference on Advances in Electrical Engineering (ICAEE) : 731-736, 2017
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