AI-driven digital pathology: a step towards precision medicine
Video recording:
Speaker: Vladimir Despotovic (Department of Medical Informatics, Luxembourg Institute of Health, Luxembourg)
Title: AI-driven digital pathology: a step towards precision medicine.
Time: Wednesday, 2024.06.12, 10:00 a.m. (CET)
Place: fully virtual (contact Jakub Lengiewicz or Elisa GÓMEZ DE LOPE to register)
Format: 30 min. presentation + 30 min. discussion
Abstract: The presentation will focus on state-of-the-art computer vision technologies and algorithms for analyzing high resolution Whole Slide Images in digital and computational pathology, and its application to automatic clinical diagnosis. Special attention will be paid to self-supervised and transfer learning strategies to leverage domain knowledge in addressing the challenges posed by limited data availability. We will further discuss translational considerations, emphasizing how these technologies can lead to more personalized diagnostics and treatment approaches.
Additional material:
- V. Despotovic, S.-Y. Kim, A.-C. Hau, A. Kakoichankava, G. Klamminger, F. Borgmann, K.B.M. Frauenknecht, M. Mittelbronn, P.V. Nazarov, Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study, Heliyon, 2024
- Presentation: