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Peer-Reviewed Publication
Med Image Anal2019;5515-26.July 1, 2019Journal Article

Pulmonary nodule detection in CT scans with equivariant CNNs.

Marysia Winkels1, Taco S Cohen2
1University of Amsterdam, Netherlands; Aidence B.V., Netherlands. Electronic address: marysia@aidence.com.
2University of Amsterdam, Netherlands.
PubMed DOI

Abstract

Convolutional Neural Networks (CNNs) require a large amount of annotated data to learn from, which is often difficult to obtain for medical imaging problems. In this work we show that the sample complexity of CNNs can be significantly improved by using 3D roto-translation group convolutions instead of standard translational convolutions. 3D CNNs with group convolutions (3D G-CNNs) were applied to…

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