Deep tissue imaging is a fundamental research method in the field of biological imaging. In the field of biological imaging, deep tissue imaging has always been an essential study tool in peering deep within biological …

Explainable AI (XAI) aims to render model behavior understandable by humans, which can be seen as an intermediate step in extracting causal relations from correlative patterns. Due to the high risk of possible fatal decisions …

Imaging Applications in Medicine

Machine Learning and Statistics, based on the bayesian premise that parameters are random variables. Enables generative models, density estimation, and uncertainty quantification.

Semantic segmentation refers to classification of individual pixels in an image to a set of predefined categories/classes. Semantic segmentation is a fundamental type of image analysis that has a plethora of applications across all imaging …