44 citations · 69 across the 3 of their papers we have counts for
4 papers
Supervised Transfer Learning at Scale for Medical Imaging
Basil Mustafa, Aaron Loh, Jan Freyberg +12
Transfer learning is a standard technique to improve performance on tasks with limited data. However, for medical imaging, the value of transfer learning is less clear. This is lik…
Addressing the Real-world Class Imbalance Problem in Dermatology
Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan +2
Class imbalance is a common problem in medical diagnosis, causing a standard classifier to be biased towards the common classes and perform poorly on the rare classes. This is espe…
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
Amirata Ghorbani, Vivek Natarajan, David Coz +1
Despite the recent success in applying supervised deep learning to medical imaging tasks, the problem of obtaining large and diverse expert-annotated datasets required for the deve…
A deep learning system for differential diagnosis of skin diseases
Yuan Liu, Ayush Jain, Clara Eng +19
Skin conditions affect an estimated 1.9 billion people worldwide. A shortage of dermatologists causes long wait times and leads patients to seek dermatologic care from general prac…