Oncology | Radiology Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer. February 24, 2020
Oncology | Pathology | Radiology A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma. February 22, 2020
Gastroenterology | Oncology | Radiology Retrospective imaging studies of gastric cancer: Study protocol clinical trial (SPIRIT Compliant). February 21, 2020
Breast Surgery | Oncology | Radiology Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don’t Forget the Peritumoral Region. February 21, 2020
Oncology | Radiology Inaccurate labels in weakly supervised deep learning: Automatic identification and correction and their impact on classification performance. February 20, 2020
Artificial Intelligence | Drug Development | Oncology A novel artificial intelligence protocol for finding potential inhibitors of acute myeloid leukemia. February 18, 2020
Epidemiology | Oncology | Population Health Leveraging Digital Data to Inform and Improve Quality Cancer Care. February 18, 2020
Artificial Intelligence | Gastroenterology | Oncology Artificial-intelligence-based detection of pharyngeal cancer using convolutional neural networks. February 17, 2020
Oncology | Radiology Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training. February 17, 2020
Oncology | Radiology Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer. February 14, 2020
Oncology | Pulmonology | Radiology CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists. February 14, 2020
Oncology | Radiology Coarse-to-Fine Adversarial Networks and Zone-based Uncertainty Analysis for NK/T-cell Lymphoma Segmentation in CT/PET images. February 14, 2020