Digital Pathology has created numerous opportunities for machine learning and artificial intelligence. Several repetitive and tedious tasks done by pathologists can be automated or assisted by AI models. Whilst most existing research focus on adult cancer applications, we aim to focus on pediatrics applications. Accurate and timely diagnosis in pediatric departments would lead to an improved long-term health outcome and cost saving for the healthcare system. In this project phase, we are interested in inflammatory cell counting useful for the diagnosis of a wide range of gastrointestinal diseases. 

The activities of the projects are centered around

• Model-assistant image annotation 
• Efficient cell counting