A medical research project uses machine learning for early detection of different brain haemorrhage types in images. This is an example of what type of machine learning?

This example illustrates the use of classification in machine learning. In this context, the goal is to detect and categorize different types of brain hemorrhages based on image data. Classification tasks involve training a model on labeled datasets, where the labels correspond to specific categories or classes—in this case, various types of brain hemorrhages. Once the model is trained, it can analyze new, unseen images and predict which category they belong to.

In medical imaging, this approach is particularly valuable because it allows for swift and accurate diagnosis, thereby supporting timely interventions. The classification process deals with distinct outcomes, making it essential in applications like medical diagnosis, where the distinction among various conditions is crucial for effective treatment and intervention strategies.