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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zaib Akram (22224541) (author)
مؤلفون آخرون:	Kashif Munir (6182237) (author), Muhammad Usama Tanveer (18830937) (author), Atiq Ur Rehman (8843024) (author), Amine Bermak (1895947) (author)
منشور في:	2024
الموضوعات:	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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