858 citations · 860 across the 3 of their papers we have counts for
4 papers
Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma
Junli Cao, B. S., Junyan Wu +7
Background: Margin assessment of basal cell carcinoma using the frozen section is a common task of pathology intraoperative consultation. Although frequently straight-forward, the…
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks
Junyan Wu, Hao Jiang, Xiaowei Ding +4
Skin conditions are reported the 4th leading cause of nonfatal disease burden worldwide. However, given the colossal spectrum of skin disorders defined clinically and shortage in d…
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +28
Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modali…
What evidence does deep learning model use to classify Skin Lesions?
Xiaoxiao Li, Junyan Wu, Eric Z. Chen +1
Melanoma is a type of skin cancer with the most rapidly increasing incidence. Early detection of melanoma using dermoscopy images significantly increases patients' survival rate. H…