MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction
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Title
MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction
Authors
Keywords
Tumor type classification, Capsule network, Mixture of experts
Journal
PATTERN RECOGNITION
Volume 116, Issue -, Pages 107942
Publisher
Elsevier BV
Online
2021-03-20
DOI
10.1016/j.patcog.2021.107942
References
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Related references
Note: Only part of the references are listed.- 3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy Prediction
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- Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework
- (2017) Luke Oakden-Rayner et al. Scientific Reports
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- (2016) Stephen S F Yip et al. PHYSICS IN MEDICINE AND BIOLOGY
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- (2016) Jun Cheng et al. PLoS One
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- (2015) Arash Mohammadi et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
- (2013) Kenneth Clark et al. JOURNAL OF DIGITAL IMAGING
- The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
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