Oncology | Radiology Artificial Intelligence-Based Non-invasive Differentiation of Distinct Histologic Subtypes of Renal Tumors With Multiphasic Multidetector Computed Tomography. May 13, 2024
Oncology | Radiology Convolutional neural networks for the differentiation between benign and malignant renal tumors with a multicenter international computed tomography dataset. January 25, 2024
Medical Imaging | Oncology | Radiology | Urology CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors. June 19, 2023
Oncology | Radiology | Urology Multimodal ultrasound fusion network for differentiating between benign and malignant solid renal tumors. September 23, 2022
Oncology | Radiology | Urology Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks. March 15, 2022
Oncology | Radiology | Urology Differentiating Benign from Malignant Renal Tumors Using T2- and Diffusion-Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists. August 31, 2021
Oncology | Pathology | Radiology Deep learning with a convolutional neural network model to differentiate renal parenchymal tumors: a preliminary study. March 3, 2021
Pathology | Radiology A Deep Learning-Based Radiomics Model for Differentiating Benign and Malignant Renal Tumors. January 15, 2019