Dermatology | Pathology Automated cutaneous squamous cell carcinoma grading using deep learning with transfer learning. July 18, 2024
Obstetrics | Pediatrics | Radiology Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection. February 16, 2024
Gastroenterology | Medical Imaging | Radiology An Automated Method for Classifying Liver Lesions in Contrast-Enhanced Ultrasound Imaging Based on Deep Learning Algorithms. March 29, 2023
Gastroenterology | Radiology Deep Learning Algorithms in the Automatic Segmentation of Liver Lesions in Ultrasound Investigations. November 26, 2022
Dermatology | Pathology Nodular and Micronodular Basal Cell Carcinoma Subtypes Are Different Tumors Based on Their Morphological Architecture and Their Interaction with the Surrounding Stroma. July 31, 2022
Radiology Federated Learning Approach with Pre-Trained Deep Learning Models for COVID-19 Detection from Unsegmented CT images. July 27, 2022
Pathology Deep learning with transfer learning in pathology. Case study: classification of basal cell carcinoma. June 8, 2022
Pathology | Radiology Deep Learning: a Promising Method for Histological Class Prediction of Breast Tumors in Mammography. September 10, 2021
Pathology Agreement of two pre-trained deep-learning neural networks built with transfer learning with six pathologists on 6000 patches of prostate cancer from Gleason2019 Challenge. February 5, 2021
Pathology Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks. August 4, 2020