首页|期刊导航|Computer Modeling in Engineering & Sciences|Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing

Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing

Mohd Anjum Naoufel Kraiem Hong Min Ashit Kumar Dutta Yousef Ibrahim Daradkeh

Computer Modeling in Engineering & Sciences2025，Vol.142Issue(1)：P.357-384,28.

Computer Modeling in Engineering & Sciences2025，Vol.142Issue(1)：P.357-384,28.DOI:10.32604/cmes.2024.057889

Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing

Mohd Anjum ¹Naoufel Kraiem ²Hong Min ³Ashit Kumar Dutta ⁴Yousef Ibrahim Daradkeh⁵

作者信息

1. Department of Computer Engineering,Aligarh Muslim University,Aligarh,202002,India
2. College of Computer Science,King Khalid University,Abha,61413,Saudi Arabia
3. School of Computing,Gachon University,Seongnam,13120,Republic of Korea
4. Department of Computer Science and Information Systems,College of Applied Sciences,AlMaarefa University,Riyadh,13713,Saudi Arabia
5. Department of Computer Engineering and Information,College of Engineering in Wadi Alddawasir,Prince Sattam bin Abdulaziz University,Al-Kharj,16273,Saudi Arabia
折叠

摘要

关键词

Computer vision/feature selection/machine learning/region detection/texture analysis/image classification/medical images

分类

信息技术与安全科学

引用本文复制引用

Mohd Anjum,Naoufel Kraiem,Hong Min,Ashit Kumar Dutta,Yousef Ibrahim Daradkeh..Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing[J].Computer Modeling in Engineering & Sciences,2025,142(1):P.357-384,28.

基金项目

the Deanship of Scientifc Research at King Khalid University for funding this work through large group Research Project under grant number RGP2/421/45 （）

supported via funding from Prince Sattam bin Abdulaziz University project number(PSAU/2024/R/1446) （PSAU/2024/R/1446）

supported by theResearchers Supporting Project Number(UM-DSR-IG-2023-07)Almaarefa University,Riyadh,Saudi Arabia. （UM-DSR-IG-2023-07）

supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(No.2021R1F1A1055408). （NRF）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

访问量0

下载量0

段落导航