Radiology Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks. June 22, 2020
Oncology | Radiology Evaluation of transfer learning of pre-trained CNNs applied to breast cancer detection on infrared images. June 16, 2020
Dermatology | Oncology | Pathology Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network. May 16, 2020
Computer Science | Neuroscience Local features and global shape information in object classification by deep convolutional neural networks. May 15, 2020
Pathology Comparing Deep Learning Models for Multi-cell Classification in Liquid- based Cervical Cytology Image. April 20, 2020
Cybersecurity | Information Technology Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments. February 6, 2020
Computer Vision | Sleep Medicine Two-Step Deep Learning for Estimating Human Sleep Pose Occluded by Bed Covers. January 17, 2020
Cardiology | Ultrasound Imaging Are All Deep Learning Architectures Alike for Point-of-Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests Otherwise. December 24, 2019
Oncology | Radiology Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model. December 23, 2019
Oncology | Radiology Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model. December 23, 2019
Deep Learning | Otorhinolaryngology | Radiology Improvement diagnostic accuracy of sinusitis recognition in paranasal sinus X-ray using multiple deep learning models. August 4, 2019
Bioinformatics | Oncology | Pharmacology KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images. June 27, 2019