Ophthalmology | Pathology Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin-eosin images. May 3, 2024
Cardiology | Radiology Development of Pericardial Fat Count Images Using a Combination of Three Different Deep-Learning Models: Image Translation Model From Chest Radiograph Image to Projection Image of Three-Dimensional Computed Tomography. November 1, 2023
Radiology Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system. October 16, 2023
Oncology | Pathology Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer. March 11, 2023
Radiology Deep learning model for the automatic classification of COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy: a multi-center retrospective study. May 17, 2022
Radiology Deep learning-based algorithm improved radiologists’ performance in bone metastases detection on CT. April 8, 2022
Oncology | Radiology Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network. August 2, 2021
Radiology Diagnostic accuracy of deep-learning with anomaly detection for a small amount of imbalanced data: discriminating malignant parotid tumors in MRI. November 10, 2020
Pulmonology | Radiology Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network. October 12, 2020
Radiology Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model. August 28, 2020
Radiology Improving breast mass classification by shared data with domain transformation using a generative adversarial network. April 27, 2020
Radiology Quantitative and Qualitative Evaluation of Convolutional Neural Networks with a Deeper U-Net for Sparse-View Computed Tomography Reconstruction. July 8, 2019