Fig. 2From: Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesionsDetailed workflow of the 3D-cropbox. 3D-cropbox consists of four parts: CT HU conversion, ROI area cropping, region background filling, and input size tuning. The area outside the ROI will be filled with black to assure that deep learning features retrieved from the 3D-cropbox are entirely from CRLBack to article page