Oncology | Radiology Deep learning-based image analysis predicts PD-L1 status from F-FDG PET/CT images in non-small-cell lung cancer. September 20, 2024
Oncology | Radiology Automatic detection and segmentation of lesions in 18F-FDG PET/CT imaging of patients with Hodgkin lymphoma using 3D dense U-Net. September 3, 2024
Nuclear Medicine | Oncology | Radiology Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [F]FDG PET/CT predicts survival in multiple myeloma. March 8, 2024
Nuclear Medicine | Radiation Oncology Clinical Evaluation of Deep Learning for Tumor Delineation on F-FDG PET/CT of Head and Neck Cancer. February 22, 2024
Oncology | Pulmonology | Radiology Predictive value of F-FDG PET/CT radiomics for EGFR mutation status in non-small cell lung cancer: a systematic review and meta-analysis. February 16, 2024
Oncology | Radiology New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review. December 14, 2023
Oncology | Pathology | Radiology End-to-end deep learning radiomics: development and validation of a novel attention-based aggregate convolutional neural network to distinguish breast diffuse large B-cell lymphoma from breast invasive ductal carcinoma. October 23, 2023
Oncology | Radiology Incorporation of CAD (computer-aided detection) with thin-slice lung CT in routine 18F-FDG PET/CT imaging read-out protocol for detection of lung nodules. September 17, 2023
Oncology | Pulmonology | Radiology Deep convolutional neural network for differentiating between sarcoidosis and lymphoma based on [F]FDG maximum-intensity projection images. August 3, 2023
Oncology | Radiology Sub-minute acquisition with deep learning-based image filter in the diagnosis of colorectal cancers using total-body F-FDG PET/CT. July 10, 2023
Oncology | Pathology | Radiology F-FDG-PET/CT-based deep learning model for fully automated prediction of pathological grading for pancreatic ductal adenocarcinoma before surgery. May 25, 2023