IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals

To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image classification tasks. Despite numerous deep learning (DL) models were developed to solve the generalization pro...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Javokhir Musaev, Abdulaziz Anorboev, Yeong-Seok Seo, Odil Fayzullaev, Akobir Musaev, Ngoc Thanh Nguyen, Dosam Hwang
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Ensemble learning medical image classification pixel intensity unique true prediction analysis systematic model dropout
Online Access:	https://ieeexplore.ieee.org/document/11097304/