Computer Modeling in Engineering & Sciences2026，Vol.147Issue(4)：P.1076-1101,26.DOI:10.32604/cmes.2026.081316
An Explainable Centralized Deep Learning Model for Gastrointestinal Polyp Segmentation Using the Kvasir-SEG Dataset
Hafeez Rahman 1Naveed Butt 1Naila Sammar Naz 1Fahad Ahmed 1Muhammad Saleem 1Adnan Khan 2Khan Muhammad Adnan3
作者信息
- 1. School of Computer Science,National College of Business Administration and Economics,Lahore,Pakistan
- 2. School of Computing,Horizon University College,Ajman,United Arab Emirates Jadara University Research Center,Jadara University,Irbid,Jordan Riphah School of Computing and Innovation,Faculty of Computing,Riphah International University,Lahore Campus,Lahore,Pakistan
- 3. Department of Software,Faculty of Artificial Intelligence and Software,Gachon University,Seongnamsi,Republic of Korea
- 折叠
摘要
关键词
Gastrointestinal polyp segmentation/deep learning/ResUNet++-Lite/Kvasir-SEG dataset/explainable AI(XAI)/Grad-CAM/masked Grad-CAM/MEDICAL image analysis/colonoscopy分类
信息技术与安全科学引用本文复制引用
Hafeez Rahman,Naveed Butt,Naila Sammar Naz,Fahad Ahmed,Muhammad Saleem,Adnan Khan,Khan Muhammad Adnan..An Explainable Centralized Deep Learning Model for Gastrointestinal Polyp Segmentation Using the Kvasir-SEG Dataset[J].Computer Modeling in Engineering & Sciences,2026,147(4):P.1076-1101,26.
