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 in- termediate representations, which in our case are segments of body parts, help improve performance. Hence, we propose a two step process for pre- diction: (i) we learn to se...

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Detalles Bibliográficos
Main Authors: Jamaludin, A, Kadir, T, Clark, E, Zisserman, A
Formato: Conference item
Publicado: Springer 2019

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