Simple Summary Radiomics may answer questions where the conventional interpretation of
medical imaging has limitations. The aim of our systematic review and meta-analysis was to …

The medical image classification assumes a basic job in clinical treatment and instructing
aid. The old approach about this medical image classification might have touched its …

Purpose Detection and accurate localization of renal masses (RM) are important steps
toward future potential classification of benign vs malignant RM. A fully automated algorithm …

Purpose Accurate detection of small renal masses (SRM) is a fundamental step for
automated classification of benign and malignant or indolent and aggressive renal tumors …

Objectives The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of
great importance for more effective treatment. Encouraged by the key role of imaging in the …

This study proposes the integration of principal component analysis (PCA), convolution,
dense residual network (DRN) for the image classification of healthy kidneys, renal cysts …

Multiparametric MRI based assessment of renal masses in the kidney has the potential to
improve tumour classification accuracy and as a result improve treatment outcomes for renal …

Medical imaging techniques like computed tomography (CT), magnetic resonance imaging
(MRI), and histopathology examinations are used to investigate various kidney cancers …