no code implementations • 14 Dec 2020 • Silas Nyboe Ørting, Hans Jacob Teglbjærg Stephensen, Jon Sporring
The categorical distribution is a natural representation of uncertainty in multi-class segmentations.
no code implementations • 3 Dec 2020 • Silas Nyboe Ørting
We report on the results of a small crowdsourcing experiment conducted at a workshop on machine learning for segmentation held at the Danish Bio Imaging network meeting 2020.
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.
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.