A project for the “Interactive Software and Hardware” module which required students to creatively work with hardware and software to create an interactive exhibit. This exhibit demonstrates a prototype system in which…
Anonymising medical data for use in machine learning is important to preserve patient privacy and, in many circumstances, is a requirement before data can be made available. One approach to anonymising image data is to…
Towel manipulation is a crucial stepstone towards more general cloth manipulation, but it remains a challenge to fold a towel from any crumple state and recover from a failed folding step. In this work, we develop a…
Today, robotic systems often require precise descriptions of the environment in which they are expected to operate. In other cases, they need time to extensively explore the environment before they are able to…
Machine learning has massive implications for the healthcare sector. Advances in computer vision and deep learning can allow us to automate the time-consuming and costly nature of manually annotating metastases in…
Keywords Artificial Intelligence, Machine Learning, Pathology, Histopathology, Generative Modelling, Computer Vision Staff [David Harris-Birtill]{dcchb} and David Morrison
Humans are able to effortlessly describe scenes at great length by composing together a small list of concepts which can be learned from a few examples. However, this task remains challenging for machine learning…