Meta Label Correction for Noisy Label Learning
Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source
Medical images offer vast opportunities to improve clinical workflows and outcomes. Specifically, in the context of cancer radiotherapy, clinicians need to go through computer tomography (CT) scans and manually segment (contour) anatomical structures. This is…
Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source webinar
In this webinar, Dr. Ozan Oktay and Dr. Anton Schwaighofer will analyze these challenges within the context of image-guided radiotherapy procedures and will present the latest research outputs of Project InnerEye in tackling these challenges.…
Directions in ML: Automating ML Performance Metric Selection
From music recommendations to high-stakes medical treatment selection, complex decision-making tasks are increasingly automated as classification problems. Thus, there is a growing need for classifiers that accurately reflect complex decision-making goals. One often formalizes these…