Oncology | Radiology Comparison of Different Fusion Radiomics for Predicting Benign and Malignant Sacral Tumors: A Pilot Study. May 8, 2024
Pulmonology | Radiology TransEBUS: The interpretation of endobronchial ultrasound image using hybrid transformer for differentiating malignant and benign mediastinal lesions. May 3, 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
Nuclear Medicine | Radiology Classification of Pulmonary Nodules in 2-[F]FDG PET/CT Images with a 3D Convolutional Neural Network. January 23, 2024
Pathology | Radiology Discrimination of benign and malignant breast lesions on dynamic contrast-enhanced magnetic resonance imaging using deep learning. December 29, 2023
Oncology | Pathology | Radiology Fusion of laser-induced breakdown spectroscopy technology and deep learning: a new method to identify malignant and benign lung tumors with high accuracy. December 8, 2023
Breast Imaging | Diagnostic Imaging | Oncology | Radiology Radiomics to Differentiate Malignant and Benign Breast Lesions: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis. November 29, 2023
Radiology Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodules. August 11, 2023
Radiology Classification of asymmetry in mammography via the DenseNet convolutional neural network. July 14, 2023
Pathology | Radiology A deep learning model for the differential diagnosis of benign and malignant salivary gland tumors based on ultrasound imaging and clinical data. May 14, 2023
Oncology | Radiology Deep learning for differentiating benign from malignant tumors on breast-specific gamma image. April 11, 2023
Ophthalmology Differentiating malignant and benign eyelid lesions using deep learning. March 14, 2023