Automatic segmentation and classification of liver tumor from CT image using feature difference and SVM based classifier-soft computing technique-Reference-Cited by-同舟云学术

Automatic segmentation and classification of liver tumor from CT image using feature difference and SVM based classifier-soft computing technique

Published:2020-06-22 Issue:24 Volume:24 Page:18591-18598
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Devi R. Manjula,Seenivasagam V.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-020-05094-1.pdf

Reference24 articles.

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3. Das A, Das P, Panda SS (2018) Adaptive fuzzy clustering-based texture analysis for classifying liver cancer in abdominal CT images. Int J Comput Biol Drug Des 11(3):192–208

4. Depeursinge A, Kurtz C, Beaulieu C, Napel S, Rubin D (2014) Predicting visual semantic descriptive terms from radiological image data: preliminary results with liver lesions in CT. IEEE Trans Med Imaging 33(8):1669–1676

5. Gunasundari S, Suganya Ananthi M (2012) Comparison and evaluation of methods for liver tumor classification from CT datasets. Int J Comput Appl 39(18):46–51

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