The project focuses on the integration of radiomic features with deep learning segmentation algorithms to develop multimodal approaches that enhance the accuracy of tumor segmentation in renal CT scans. Additionally, the research explores various synergistic applications of radiomic features and deep learning algorithms in the field of medical imaging texture analysis.