The qualitative analysis of histopathological and radiological images is time-consuming and subject to inter- and intra-reader variations. This affects the prediction of the clinical outcome in an undesirable way. As a result, we are developing image analysis systems for computer-assisted interpretations of these images to help pathologists and radiologists in their analysis of images. Our goal is to provide computational tools with which they can extract quantitative features useful for more objective and accurate detection, diagnosis, and prognosis. In addition, we are investigating high performance computational infrastructures to efficiently process these large images. The current systems developed in the CIALAB have provided promising results - both in terms of accuracy and also computational efficiency.