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To improve the prognosis of patients suffering from pulmonary diseases, such as lung cancer, early diagnosis and treatment are crucial.
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Abid, A. et al · 1906
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3D Slicer
Pieper, S., Halle, M. & Kikinis, R · 2004
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Extraction of airways from CT (EXACT’09)
Lo, P. et al · 2012
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GPU accelerated segmentation and centerline extraction of tubular structures from medical images
Smistad, E., Elster, A. & Lindseth, F · 2013
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Detection of lung cancer through low-dose CT screening (NELSON): A prespecified analysis of screening test performance and interval cancers
Horeweg, N. et al · 2014
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An Effective Interactive Medical Image Segmentation Method using Fast GrowCut
Zhu, L., Kolesov, I., Gao, Y., Kikinis, R. & Tannenbaum, A · 2014
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Airway Segmentation and Centerline Extraction from Thoracic CT – Comparison of a New Method to State of the Art Commercialized Methods
Reynisson, P. J. et al · 2015
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FAST: framework for heterogeneous medical image computing and visualization
Smistad, E., Bozorgi, M. & Lindseth, F · 2015
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Abadi, M. et al · 2016
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Small airway segmentation in thoracic computed tomography scans: A machine learning approach
Bian, Z. et al · 2018
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Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net
Yun, J. et al · 2019
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A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs
Garcia-Uceda Juarez, A., Selvan, R., Saghir, Z. & de Bruijne, M · 2019
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High performance neural network inference, streaming and visualization of medical images using FAST
Smistad, E., Østvik, A. & Pedersen, A · 2019
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Using the CustusX toolkit to create an image guided bronchoscopy application: Fraxinus
Lervik Bakeng, J. B. et al · 2019
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Pathological Airway Segmentation with Cascaded Neural Networks for Bronchoscopic Navigation
Zhang, H., Shen, M., Shah, P. L. & Yang, G.-Z · 2020
Cited alongside, same era.
AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion
Qin, Y. et al · 2020
Cited alongside, same era.
Learning bronchiole-sensitive airway segmentation CNNs by feature recalibration and attention distillation
Qin, Y. et al · 2020
Cited alongside, same era.
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
Hofmanninger, J. et al · 2020
Cited alongside, same era.
Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features
Feng, X., Tustison, N. J., Patel, S. H. & Meyer, C. H · 2020
Cited alongside, same era.
Alleviating class-wise gradient imbalance for pulmonary airway segmentation
Zheng, H. et al · 2021
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Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumonia
Poletti, J. et al · 2022
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Carmo, D., Rittner, L. & Lotufo, R · 2022
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ATM-22-Related-Work
ATM-22 challenge developers · 2022
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Lung Cancer
World Health Organization · 2023
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Diagnostic yield and safety of navigation bronchoscopy: A systematic review and meta-analysis
Kops, S. E. et al · 2023
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EfficientDet: Scalable and efficient object detection
Tan, M., Pang, R. & Le, Q. V · 2020
Cited alongside, same era.
Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
Garcia-Uceda, A., Selvan, R., Saghir, Z., Tiddens, H. A. & de Bruijne, M · 2021
Cited alongside, same era.
Segmentation of the Airway Tree From Chest CT Using Tiny Atrous Convolutional Network
Cheng, G. et al · 2021
Cited alongside, same era.
A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning
Nadeem, S. A. et al · 2021
Cited alongside, same era.
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Qin, Y. et al · 2021
Cited alongside, same era.
A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy
Chen, X. et al · 2021
Cited alongside, same era.
Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention Mechanisms
Bouget, D., Pedersen, A., Hosainey, S. A. M., Solheim, O. & Reinertsen, I · 2021
Cited alongside, same era.
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Adversarial Transformer for Repairing Human Airway Segmentation
Tang, Z., Nan, Y., Walsh, S. & Yang, G · 2023
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NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline (2023)
Wang, A., Tam, T. C. C., Poon, H. M., Yu, K.-C. & Lee, W.-N · 2023
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Totalsegmentator: Robust segmentation of 104 anatomic structures in ct images
Wasserthal, J. et al · 2023
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Multi-site, Multi-domain Airway Tree Modeling
Zhang, M. et al · 2023
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Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
Bouget, D., Pedersen, A., Vanel, J., Leira, H. O. & Langø, T · 2023
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Raidionics: an open software for pre-and postoperative central nervous system tumor segmentation and standardized reporting
Bouget, D. et al · 2023
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andreped/gradientaccumulator: v0.5.2, DOI: 10.5281/zenodo.6615018 (2023)
Pedersen, A., Nordmo, T.-A. S., Pérez de Frutos, J. & Bouget, D · 2023
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