Fuzzy Enhanced Kidney Tumor Detection: Integrating Machine Learning Operations for a Fusion of Twin Transferable Network and Weighted Ensemble Machine Learning Classifier
Kidney tumors, often asymptomatic, can lead to serious health problems if left undiagnosed. This study tackles the crucial issue of kidney tumor detection using CT scans. The proposed approach leverages the power of image enhancement using fuzzy systems, deep learning, and machine learning for autom...
Saved in:
Main Authors: | Ananya Ghosh, Jyotismita Chaki |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10829567/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach
by: Mir Faiyaz Hossain, et al.
Published: (2025-01-01) -
Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China
by: Tiantian Tang, et al.
Published: (2025-01-01) -
Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning
by: Shahriar Kaisar, et al.
Published: (2024-06-01) -
Robust fault detection and classification in power transmission lines via ensemble machine learning models
by: Tahir Anwar, et al.
Published: (2025-01-01) -
Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction.
by: Niyonzima, Ivan, et al.
Published: (2024)