Abstract Renal Cell Carcinoma (RCC) is the most common malignant tumor (85%) of kidney
cancer and has a complex histological pattern and nuclear structure. The manual diagnosis …

Trends of kidney cancer cases worldwide are expected to increase persistently and this
inspires the modification of the traditional diagnosis system to respond to future challenges …

Histopathological images contain morphological markers of disease progression that have
diagnostic and predictive values. In this study, we demonstrate how deep learning …

Renal cancer is one of the top causes of cancer-related deaths among men globally. Early
detection of renal cancer is crucial because it can significantly improve the probability of …

The grade of cancer is a way to classify cancer based on certain characteristics of cancer
tissue. It is an important issue for the precise diagnosis, treatment, and mechanistic research …

Histopathological images contain morphological markers of disease progression that have
diagnostic and predictive values. However, complex morphological information remains …

Kidney cancer is the most common type of cancer, and designing an automated system to
accurately classify the cancer grade is of paramount importance for a better prognosis of the …

Kidney cancer is a very critical condition that require prompt diagnosis to successful
treatment. In this study, it is proposed an enhanced hybrid deep learning (DL) model for …

Histopathological image classification is one of the important application areas of medical
imaging. However, an accurate and efficient classification is still an open-ended research …

The role of deep learning is predominant in classifying medical images. Histopathological
image classification involves classifying tumor and cancer tissue subtypes, but it has many …