Spinal curve assessment of idiopathic scoliosis with a small dataset via a multi-scale keypoint estimation approach

Tianyu Liu
Tianyu Liu
Yukang Yang
Yukang Yang
Yu Wang
Yu Wang
Ming Sun
Ming Sun
Cody Bunger
Cody Bunger

UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers Virtual Event Mexico September, 2020, pp. 665-670, 2020.

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Abstract:

Idiopathic scoliosis (IS) is the most common type of spinal deformity, which leads to severe pain and potential heart and lung damage. The clinical diagnosis and treatment strategies for IS highly depend on the radiographic assessment of spinal curve. With improvements in image recognition via deep learning, learning-based methods can be ...More

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