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相关作者：吕文澎更多>>
相关机构：西北师范大学更多>>
相关期刊：《Journal of Systematics and Evolution》《Beijing Synchrotron Radiation Facility》《中国美容整形外科杂志》《Journal of Mathematics and System Science》更多>>
相关基金：国家自然科学基金山西省自然科学基金广东省自然科学基金国家重点基础研究发展计划更多>>
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Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing
《Computer Modeling in Engineering & Sciences》2025年第1期357-384,共28页Mohd Anjum Naoufel Kraiem Hong Min Ashit Kumar Dutta Yousef Ibrahim Daradkeh 
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);supported by theResearchers Supporting Project Number(UM-DSR-IG-2023-07)Almaarefa University,Riyadh,Saudi Arabia.;supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(No.2021R1F1A1055408).
Machine learning(ML)is increasingly applied for medical image processing with appropriate learning paradigms.These applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify sp...
关键词：Computer vision feature selection machine learning region detection texture analysis image classification medical images 
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