Learning from limited data: 3 case studies in healthcare
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Learning from limited data: 3 case studies in healthcare
Fri, 01/03/2019 - 10:00 to 11:00
Location:
Speaker:
Aneta Lisowska
Affiliation:
Canon Medical Research Europe
Synopsis:
Medical data are generally limited in supply due to reasons of confidentiality, ethics and expense. This poses a challenge in applying machine learning techniques to medical problems. Depending on what data are available, different techniques might be considered. In this talk we will examine different approaches for application to fall detection, stroke signs detection and medical image retrieval.
Biography:
Aneta is an AI scientist at Canon Medical Research Europe, currently investigating transfer and multitask learning techniques in application to anatomy segmentation and pathology detection in CT scans. Recently she became excited about continual learning models.