Predicting scoliosis in DXA scans using intermediate representations
We describe a method to automatically predict scoliosis in Dual-energy X-ray Absorptiometry (DXA) scans. We also show that intermediate representations, which in our case are segments of body parts, help improve performance. Hence, we propose a two step process for prediction: (i) we learn to segmen...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2019
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