Feature extraction-based liver tumor classification using Machine Learning and Deep Learning methods of computed tomography images-Reference-Cited by-同舟云学术

Feature extraction-based liver tumor classification using Machine Learning and Deep Learning methods of computed tomography images

Published:2024-04-25 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Malik Mubasher H.¹,Ghous Hamid¹,Rashid Tahir²,Maryum Bibi³,Hao Zhang⁴,Umer Qasim²⁵

Affiliation:

1. Department of Computer Science, Institute of Southern Punjab, Multan, Pakistan

2. Department of Computer Science, COMSATS University Islamabad, Vehari, Pakistan

3. Department of Computer Science, Azad Jammu and Kashmir Medical College, Muzaffarabad, Pakistan

4. School of Public Health, Hangzhou Normal University, Hangzhou, China

5. Department of Computer Science, Hanyang University, Seoul, Korea

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2338994

Reference65 articles.

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3. Alahmer H. & Ahmed A. (2016). Hierarchical classification of liver tumor from CT images based on difference-of-features (DOF). World Congress on Engineering.

4. Al Sadeque, Z. K. (2019). Automated detection and classification of liver cancer from CT images using HOG-SVM model. In 019 5th International Conference on Advances in Electrical Engineering (ICAEE) (pp. 21–26). IEEE.

5. Liver segmentation from abdomen ct images with Bayesian model;Aldeek N. A.-Z.;Journal of Theoretical & Applied Information Technology,,2014