Published April 12, 2024
| Version v1
Dataset
Open
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.
Creators
-
Kurmukov, Anvar
(Research group)1
- Chernina, Valeria (Research group)
- Gareeva, Regina (Research group)
- Dugova, Maria (Research group)
- Petrash, Ekaterina (Research group)
- Aleshina, Olga (Research group)
- Pisov, Maxim (Research group)
- Shirokikh, Boris (Research group)
- Samokhin, Valentin (Research group)
- Proskurov, Vladislav (Research group)
- Shimovolos, Stanislav (Research group)
- Basova, Maria (Research group)
- Goncahrov, Mikhail (Research group)
- Soboleva, Eugenia (Research group)
- Donskova, Maria (Research group)
- Yaushev, Farukh (Research group)
- Shevtsov, Alexey (Research group)
- Zakharov, Alexey (Research group)
- Saparov, Talgat (Research group)
- Gombolevskiy, Victor (Research group)
- Beliaev, Mikhail (Research group)
- 1. AUMI.AI
Description
Data used to perform statistical analysis in "The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.".
Files
binary_labels_ai.csv
Files
(269.5 kB)
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md5:9ada4b4139fe70d8477ec73ecd7df9d9
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13.7 kB | Preview Download |
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md5:14d7060d83e154bf49af19622e41aa31
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18.0 kB | Preview Download |
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md5:e7e7c14bf2839904dadbd5033370746d
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70.7 kB | Preview Download |
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md5:538f97da19e29c97cec2cf53cd520832
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150.9 kB | Preview Download |
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md5:50f0395bebe6004cbc33b043e227fda9
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16.2 kB | Preview Download |