The iToBoS project is usually categorized within the field of medical imaging. However, all the technical solutions used or to be developed in the project, from the optics to the artificial intelligence algorithms, are part of the wider field of machine vision.
The task of real-world noise removal is challenging, as the noise model is highly complex. CNNs have lately achieved state-of-the-art denoising performance, but the networks are extremely large and complicated for a better accuracy.
iToBoS project was presented through a poster titled “Non-contact dermoscopy for the early detection of skin cancer” in the interdisciplinary workshop Cluster of Excellence PhoenixD.
This article presents an analysis of the strengths, weaknesses and threats of teledermatology.
YOLO (You Only Look Once) is an algorithm that uses neural networks to offer real-time detection. Its popularity is due to being much faster than other methods while still providing a good accuracy. It is fast by design: it has fewer convolutional layers (9 instead 24) and fewer filters.