Advantages and Application Prospects of Deep Learning in Image Recognition and Bone Age Assessment
10.3969/j.issn.1004-5619.2017.06.013
- VernacularTitle:深度学习在图像识别及骨龄评估中的优势及应用前景
- Author:
Ting-Hong HU
1
;
Lei WAN
;
Tai-Ang LIU
;
Mao-Wen WANG
;
Teng CHEN
;
Ya-Hui WANG
Author Information
1. 西安交通大学医学部法医学院
- Keywords:
forensic anthropology;
age determination by skeleton;
review;
image processing;
computer-as-sisted;
deep learning;
neural networks (computer);
image recognition
- From:
Journal of Forensic Medicine
2017;33(6):629-634,639
- CountryChina
- Language:Chinese
-
Abstract:
Deep learning and neural network models have been new research directions and hot issues in the fields of machine learning and artificial intelligence in recent years. Deep learning has made a breakthrough in the applications of image and speech recognitions, and also has been extensively used in the fields of face recognition and information retrieval because of its special superiority. Bone X-ray images express different variations in black-white-gray gradations, which have image features of black and white contrasts and level differences. Based on these advantages of deep learning in image recognition, we combine it with the research of bone age assessment to provide basic datum for constructing a forensic automatic system of bone age assessment. This paper reviews the basic concept and network architectures of deep learning, and describes its recent research progress on image recognition in different research fields at home and abroad, and explores its advantages and application prospects in bone age assessment.
