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Document type:
Buchbeitrag 
Author(s):
Sanchez, A.; Albarqouni, S.; Mateus, D. 
Title:
Capsule Networks against Medical Imaging Data Challenges 
Pages contribution:
150--160 
Abstract:
A key component to the success of deep learning is the availability of massive amounts of training data. Building and annotating large datasets for solving medical image classification problems is today a bottleneck for many applications. Recently, capsule networks were proposed to deal with shortcomings of Convolutional Neural Networks (ConvNets). In this work, we compare the behavior of capsule networks against ConvNets under typical datasets constraints of medical image analysis, namely, smal...    »
 
Keywords:
MICCAI,deeplearning,capsule 
Book title:
Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis 
Publisher:
Springer 
Year:
2018