Weakly Supervised Pediatric Bone Age Assessment Using Ultrasonic Images via Automatic Anatomical RoI Detection-Reference-Cited by-同舟云学术

Weakly Supervised Pediatric Bone Age Assessment Using Ultrasonic Images via Automatic Anatomical RoI Detection

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Multimedia Retrieval
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Author:

Yan Yunyan¹,Liu Chuanbin¹,Xie Hongtao¹,Zhang Sicheng²,Mao Zhendong¹

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Anhui Provincial Children's Hospital, Hefei, China

Funder

National Nature Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512527.3531436

Reference28 articles.

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3. Jintai Chen , Bohan Yu , Biwen Lei , Ruiwei Feng , Danny Z Chen , and Jian Wu . 2020 . Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand Radiographs. In International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, 764--774 . Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z Chen, and Jian Wu. 2020. Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand Radiographs. In International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, 764--774.

4. Hand Pose Estimation for Pediatric Bone Age Assessment

5. Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition