Learning to quantify emphysema extent: What labels do we need?

no code implementations • 17 Oct 2018 • Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

We evaluate performance on 600 low-dose CT scans from the Danish Lung Cancer Screening Trial and find that learning from emphysema presence labels, which are much easier to obtain, gives equally good performance to learning from emphysema extent labels.

BIG-bench Machine Learning Multiple Instance Learning

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

no code implementations • 19 Jun 2018 • Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

We evaluate the networks on 973 images, and show that the CNNs can learn disease relevant feature representations from derived similarity triplets.