This Kaggle Competition is to detect functional tissue units (FTUs) across different tissue preparation pipelines. An FTU is defined as a “three-dimensional block of cells centred around a capillary, such that each cell in this block is within diffusion distance from any other cell in the same block”. The goal of this competition is the implementation of a successful and robust glomeruli FTU detector.
Neural networks have revolutionised image processing in several different domains. Among these is the field of medical imaging. In this notebook, we will get some hands-on experience in working with Chest X-Ray (CXR) images.
The objective of this exercise is to identify images where an “effusion” is present. This is a classification problem, where we will be dealing with two classes – ‘effusion’ and ‘no finding’. Here, the latter represents a “normal” X-ray image.