Project description
The project will focus on applications of Convolutional Neural Networks (CNN) to classification of stained breast biopsy images. Different network architectures and parameters would be considered to achieve state-of-the-art performance with classification of tissues into classes such as normal, benign, malignant. Publicly available databases would be used to evaluate performance of the designed networks. The accuracy of such systems is currently about 75-85% leaving significant room for improvement. The project requires access to a PC with a decent GPU.
Assumed knowledge
Basic knowledge of probability, linear algebra and statistics; good programming skills
Industry involvement
Note: You need to register interest in projects from different supervisors (not a number of projects with the one supervisor).
You must also contact each supervisor directly to discuss both the project details and your suitability to undertake the project.