Radiology Classification of lung cancer computed tomography images using a 3-dimensional deep convolutional neural network with multi-layer filter. June 27, 2023
Pulmonology | Radiology A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules. June 15, 2023
Radiology Efficient pulmonary nodules classification using radiomics and different artificial intelligence strategies. May 18, 2023
Medical Imaging | Radiology Artificial intelligence aided diagnosis of pulmonary nodules segmentation and feature extraction. April 7, 2023
Pathology | Radiology | Surgery Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm. April 4, 2023
Radiology “Will I change nodule management recommendations if I change my CAD system?”-impact of volumetric deviation between different CAD systems on lesion management. March 9, 2023
Radiology Comparison of Gray-scale Inversion to Improve Detection of Pulmonary Nodules on Chest X-rays Between Radiologists and a Deep Convolutional Neural Network. December 5, 2022
Computer Science | Oncology | Radiology MSTS-Net: malignancy evolution prediction of pulmonary nodules from longitudinal CT images via multi-task spatial-temporal self-attention network. November 29, 2022
Pathology | Radiology Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules. October 21, 2022
Radiology Data augmentation based on multiple oversampling fusion for medical image segmentation. October 18, 2022
Radiology 3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography. October 13, 2022
Oncology | Pulmonology | Radiology Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. October 5, 2022