Institutt for data- og elektroteknologi
Saul Fuster Navarro is doing a Ph.D. in Science and Technology. He has done his Master of Telecommunications Engineering from Universitat Politècnica de València in 2019. He received his B.Sc. in Telecommunications Engineering in 2017. He is a Marie-Curie Early Stage Researcher (ESR) working under CLARIFY Project (EU Horizon 2020 Project).
CLARIFY’s main goal is to develop a robust automated digital diagnostic environment based on artificial intelligence and cloud-oriented data algorithms that facilitates whole-slide-image (WSI) interpretation and diagnosis everywhere with the aim of maximising the benefits of digital pathology and aiding pathologists in their daily work.
His research interests are in AI algorithms particularly with computer vision for gigapixel images. He is working on developing algorithms and systems to extract diagnostically relevant information for histological whole slide images (WSI) of non-muscle invasive bladder cancer (NMBC).