Kidney Anatomy

Kidney anatomy research focuses on accurately segmenting and characterizing kidney structures, including parenchyma, tumors, cysts, and vasculature, using medical images like CT and MRI scans. Current research employs various deep learning architectures, such as 3D U-Nets, YOLO, and transformers, often incorporating techniques like knowledge distillation and multi-scale analysis to improve segmentation accuracy and efficiency. These advancements are crucial for improving diagnostic capabilities, treatment planning (e.g., for renal cell carcinoma), and ultimately, patient outcomes. The development of large, publicly available datasets is also a key area of focus, enabling the training and validation of more robust and generalizable models.