Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment-Reference-Cited by-同舟云学术

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Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment

Published:2013-01 Issue:1 Volume:17 Page:190-197
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Harmsen M.,Fischer B.,Schramm H.,Seidl T.,Deserno T. M.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx5/6221020/6331301/06357300.pdf?arnumber=6357300

Cited by 42 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An automated metaheuristic tunicate swarm algorithm based deep convolutional neural network for bone age assessment model;Ain Shams Engineering Journal;2024-07

2. Enhancing skeletal age estimation accuracy using support vector regression models;Legal Medicine;2024-02

3. KDALDL: Knowledge Distillation-Based Adaptive Label Distribution Learning Network for Bone Age Assessment;IEEE Access;2024

4. Use of artificial intelligence in determination of bone age of the healthy individuals: A scoping review;Journal of the World Federation of Orthodontists;2023-11

5. A primary and secondary feature interactive learning network for bone age assessment;Biomedical Signal Processing and Control;2023-08

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