Published July 8, 2021
| Version v2
Dataset
Open
Data for "Deep learning-based model for diagnosing Alzheimer's disease and tauopathies"
Contributors
Others:
- 1. Osaka City University School of Medicine
- 2. Mayo Clinic
Description
Image datasets and tuned models used in the paper (Koga et al., 2021). Data.zip contains image and text files for training models. Test.zip contains 12 images from 4 patients, which are a part of the hold-out dataset images used in the paper. There are 9 CSV files, which contain the results of tau burden quantification. Python code is available at GitHub (https://github.com/Koga-MD/DL-Tauopathies).
Files
Data.zip
Files
(982.0 MB)
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md5:23c87ba0e00b2049d7171d5e9aaf4c2c
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md5:ebcdf5f9a2b944d605621107a861898d
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246.4 MB | Download |
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246.4 MB | Download |
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md5:654965e16e7bfdb35a796ba0fad06e34
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246.4 MB | Download |
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md5:1283005aab131f5285ee81e7ad597356
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md5:11fae13da5d2d6299cfcda4ba610c22a
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md5:c4e3732145b33fceda41363685b7920b
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