Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning

Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning

<p dir="ltr">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 b...

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Bibliographic Details
Main Author: Zaib Akram (22224541) (author)
Other Authors: Kashif Munir (6182237) (author), Muhammad Usama Tanveer (18830937) (author), Atiq Ur Rehman (8843024) (author), Amine Bermak (1895947) (author)
Published: 2024
Subjects:
Biomedical and clinical sciences
Oncology and carcinogenesis
Engineering
Biomedical engineering
Information and computing sciences
Artificial intelligence
Machine learning
Renal cell carcinoma (RCC)
Kidney Ensemble-Net
probabilistic features
machine learning
Kidney
Cancer
Feature extraction
Accuracy
Computed tomography
Analytical models
Probabilistic logic
Predictive models
Reliability
Random forests
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