Here are some examples of our recent work
Deep Learning in detection of microscopic tissue features
Digica was tasked with detecting features in digitised microscopic tissue images. The project was unorthodox due to the scarcity of labelled examples and the target images having resolution in the order of thousands of megapixels.
The project demanded segmentation or detection of features such as cell nuclei, artefacts and microvessels.