Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning
Kidney renal carcinoma is a type of cancer that originates in the renal cortex, the outer part of the kidney. It includes various subtypes, such as clear cell, papillary and chromophobe renal cell carcinomas, which are characterized by different cellular structures and behaviours. This cancer is oft...
Saved in:
| Main Authors: | Zaib Akram, Kashif Munir, Muhammad Usama Tanveer, Atiq Ur Rehman, Amine Bermak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10711182/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems
by: Muhammad Usama Tanveer, et al.
Published: (2025-01-01) -
PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images
by: Kashif Munir, et al.
Published: (2025-01-01) -
DR potential probabilistic forecasting model of load aggregators based on ensemble learning
by: YEERSEN Sailike, et al.
Published: (2025-04-01) -
Hierarchical multimodel ensemble probabilistic forecasts for precipitation over East Asia
by: Luying Ji, et al.
Published: (2025-03-01) -
Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection
by: Muhammad Usama Tanveer Gujjar, et al.
Published: (2024-01-01)