Towards Advanced Digital Pathology: Enhancing Microscopic Image Analysis from Patch to Slide with Deep Learning

Digital pathology uses computer technology to examine microscope slides, making disease diagnosis faster and more accurate. This research tackles challenges in the field by developing advanced computer programs that analyze medical images at different levels of detail. The study introduces new methods for classifying blood cells, identifying cancer cells more efficiently, and analyzing entire slide images to determine cancer types. It also creates a system that can simultaneously assess multiple features of brain tumors. These innovations aim to improve disease diagnosis, treatment planning, and medical research by providing more accurate and easy-to-understand tools for doctors and scientists.