EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Event submissions
Published
with-doi10.3390/mol2net-08-13947
This submission belongs to the session 05. NICE.XSM-08: North-Ibero-America Congress on Exp. & Simul. Methods, Valencia, Spain-Miami, USA, 2022 of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
31 Dec, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
SAMREEN NAEEM, AQIB ALI, SANIA ANAM, MUHAMMAD ZUBAIR, Machine Learning Methods Using Texture Feature Selection in Diagnosis of Liver Cancer, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-13947
Share
Email
Facebook
Twitter
LinkedIn

Machine Learning Methods Using Texture Feature Selection in Diagnosis of Liver Cancer

image
SAMREEN NAEEM 1
image
AQIB ALI 1
SANIA ANAM 2
MUHAMMAD ZUBAIR 1
1. Southeast University, Nanjing, China
2. Department of Computer Science, Govt Associate College for Women Ahmadpur East, Bahawalpur, Pakistan.
Abstract
Keywords
Liver Cancer
Texture Features
Machine Learning
Random Forest
Manuscript
Liver.pdf