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Welcome to the lung-nodule-msc-2018 wiki!

Datasets

ILD database http://medgift.hevs.ch/wordpress/databases/ild-database/ Includes some nodules. Not public, but available to use for TU/e projects. Already available on Saruman server in /data/ILD

LIDC-IDRI https://wiki.cancerimagingarchive.net/display/Public/LIDC-IDRI Public, focused on nodules. Related challenge: https://luna.grand-challenge.org/

Papers April 2018

• Deep learning survey: https://arxiv.org/abs/1702.05747
• Challenge paper: https://www.sciencedirect.com/science/article/pii/S1361841517301020?via%3Dihub
• Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction
• Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning
• Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images

Papers 8th May 2018

• Hello World Deep Learning https://link.springer.com/epdf/10.1007/s10278-018-0079-6

• https://arxiv.org/pdf/1804.06353.pdf - could be useful to find more references dealing with small dataset sizes for detection problems (also non-lung)

• https://blog.slavv.com/37-reasons-why-your-neural-network-is-not-working-4020854bd607

Papers 26th June 2018

Crowdsourcing in lung CT

• Airways: https://link.springer.com/chapter/10.1007/978-3-319-46976-8_22
• Similarity of emphysema https://link.springer.com/chapter/10.1007/978-3-319-67534-3_14
• Segmentation of different abnormalities: https://link.springer.com/chapter/10.1007/978-3-319-67534-3_11
• (Airway?) tree extraction: https://link.springer.com/chapter/10.1007/978-3-319-67534-3_13
• Lung nodules: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10579/105791D/Crowdsourcing-lung-nodules-detection-and-annotation/10.1117/12.2292563.full?SSO=1