Renal Cell Carcinoma

Renal cell carcinoma (RCC) research focuses on improving early diagnosis and treatment stratification, driven by the high incidence and mortality rates of this kidney cancer. Current efforts leverage deep learning, particularly 3D convolutional neural networks (CNNs) like U-Net and ResNet, and multimodal approaches integrating CT scans (with and without contrast) and ultrasound videos, to improve automated segmentation of tumors, subtype classification, and prediction of aggressiveness and survival. These advancements aim to enhance diagnostic accuracy, personalize treatment plans, and ultimately improve patient outcomes by facilitating earlier detection and more effective management of RCC.