Spinal curve assessment of idiopathic scoliosis with a small dataset via a multi-scale keypoint estimation approach-Reference-Cited by-同舟云学术

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

Published:2020-09-10 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
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Author:

Liu Tianyu¹,Yang Yukang¹,Wang Yu²,Sun Ming³,Fan Wenhui¹,Wu Cheng¹,Bunger Cody³

Affiliation:

1. Tsinghua University, Haidian, Beijing, China

2. Peking University First Hospital, Xicheng, Beijing, China

3. Aarhus University Hospital, Aarhus, Denmark

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3410530.3414317

Reference21 articles.

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2. A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset

3. MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis

4. Jingru Yi Pengxiang Wu Qiaoying Huang Hui Qu and Dimitris N Metaxas. Vertebra-focused landmark detection for scoliosis assessment. arXiv: Image and Video Processing 2020. Jingru Yi Pengxiang Wu Qiaoying Huang Hui Qu and Dimitris N Metaxas. Vertebra-focused landmark detection for scoliosis assessment. arXiv: Image and Video Processing 2020.

5. Hongbo Wu Christopher S Bailey Parham Rasoulinejad and Shuo Li. Automatic landmark estimation for adolescent idiopathic scoliosis assessment using boostnet. pages 127--135 2017. Hongbo Wu Christopher S Bailey Parham Rasoulinejad and Shuo Li. Automatic landmark estimation for adolescent idiopathic scoliosis assessment using boostnet. pages 127--135 2017.

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1. A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset;Artificial Intelligence in Medicine;2022-03

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