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Copy file name to clipboardExpand all lines: apps/dash-3d-image-partitioning/README.md
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@@ -37,4 +37,4 @@ The data used in this demo app have been taken from the [MICCAI Brain Tumor Segm
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[2] S. Bakas, H. Akbari, A. Sotiras, M. Bilello, M. Rozycki, J.S. Kirby, et al., "Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features", Nature Scientific Data, 4:170117 (2017) DOI: 10.1038/sdata.2017.117
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[3] S. Bakas, M. Reyes, A. Jakab, S. Bauer, M. Rempfler, A. Crimi, et al., "Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge", arXiv preprint arXiv:1811.02629 (2018)
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[3] S. Bakas, M. Reyes, A. Jakab, S. Bauer, M. Rempfler, A. Crimi, et al., "Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge", arXiv preprint arXiv:1811.02629 (2018)
Copy file name to clipboardExpand all lines: apps/dash-airfoil-design/README.md
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Tools for airfoil analysis in your browser.
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This repository contains the code for the Dash web app itself. All aerodynamics math is contained in [AeroSandbox](https://github.com/peterdsharpe/AeroSandbox); specifically, [here](https://github.com/peterdsharpe/AeroSandbox/blob/master/aerosandbox/aerodynamics/aero_2D/airfoil_inviscid.py).
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This repository contains the code for the Dash web app itself. All aerodynamics math is contained in [AeroSandbox](https://github.com/peterdsharpe/AeroSandbox); specifically, [here](https://github.com/peterdsharpe/AeroSandbox/blob/master/aerosandbox/aerodynamics/aero_2D/airfoil_inviscid.py).
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