Giovedì 9 Maggio 2024, ore 13
Edificio Asclepio U8-Aula 3
► Streaming
Managing the intricacies of data sharing presents a big difficulty in the field of medical image analysis. This challenge has been addressed by the emergence of Swarm Learning (SL), a decentralized training strategy for deep learning models. Key data sources for bio-image analysis include surgical video analysis, histopathology, radiology, and single-cell analysis. We examine SL's effectiveness in handling these various data streams in this presentation. Our assessments included the use of MRI in radiology to detect breast cancer tumors and the prediction of cancer biomarkers in histology
Dr Oliver Lester Saldanha who joined Katherlab in 2018 is full-time Postdoc and serves as the team lead for the decentralized learning department within our group. With a PhD in the specialized field of Decentralized Artificial Intelligence in Cancer Histopathology, focusing on Utilizing Swarm Learning to Enhance Molecular Biomarker Prediction. As a dynamic leader, Oliver excels in spearheading cross-functional teams, collaborating closely with distinguished AI and software engineers to foster seamless teamwork and accomplish shared objectives. His adept leadership skills enable him to effectively manage international collaborations and oversee multiple European-funded projects, including ODELIA, SWAG, and DECADE.
Host: Dr. Alessio Gerussi