Model Dermatology and Model Melanoma
Model 12Dx (http://dx.medicalphoto.org) is trained with 19,398 manually cropped images and additional 159,477 images (approximately 260 classes).
Model Onychomycosis (http://nail.medicalphoto.org) is trained with 49,567 images generated by region-based CNN (R-CNN).
In order to create a deep learning model that demonstrates diagnostic capabilities beyond the specialist, we generated a huge nail dataset by using faster R-CNN.
– Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network
Proximal Humerus Fracture Study
In order to obtain results similar to the specialist with current deep learning models and a small number of data (500 images per class), we should analyze the lesion of interest after cropping the part.
MedicalPhoto is a non-commercial medical image management program. This program was developed for use in dermatology at the Asan Medical Center in 2007 by Han Seung Seog (http://medicalphoto.org)