Oncology | Pathology Development of an Interpretable Deep Learning Model for Pathological Tumor Response Assessment After Neoadjuvant Therapy. April 17, 2024
Pulmonology | Radiology Comparison of deep-learning and radiomics-based machine-learning methods for the identification of chronic obstructive pulmonary disease on low-dose computed tomography images. March 28, 2024
Oncology | Pathology Deep learning to automatically evaluate HER2 gene amplification status from fluorescence in situ hybridization images. June 16, 2023
Pathology | Radiology Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature. January 18, 2023
Neurology | Radiology Application of deblur technology for improving the clarity of digital subtractive angiography. December 2, 2022