Open AccessDeep Learning-Based CT Radiomics for Feature Representation and Analysis of Aging Characteristics of Asian Bony Orbit
Author(s) -
Li Zhu,
Kunjian Chen,
Jiayu Yang,
Lei Pan,
Zhen Wang,
Panfeng Yang,
Sufan Wu,
Jingyu Li
Publication year - 2021
Publication title -
the journal of craniofacial surgery/the journal of craniofacial surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.515
H-Index - 73
eISSN - 1536-3732
pISSN - 1049-2275
DOI - 10.1097/scs.0000000000008198
Subject(s) - orbit (dynamics) , medicine , craniofacial , artificial intelligence , segmentation , convolutional neural network , feature (linguistics) , computer science , psychiatry , engineering , aerospace engineering , linguistics , philosophy
This paper puts forward a new method for automatic segmentation of bony orbit as well as automatic extraction and classification of aging features of segmented orbit contour based on depth learning, with which the aging mode of bony orbit contour is preliminarily validated.