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Proceedings Paper

Application of deep learning in the identification of TAO
Author(s): Cong Wu; Jicheng Jin
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Paper Abstract

Thyroid associated ophthalmopathy (TAO) is one of the most common orbital disease, it can be easily detected by the human eye in the late onset due to obvious changes in extraocular muscles. But in the early stage, it is not easy to be distinguish by doctors with eye because of subtle changes in extraocular muscles, so it is a good way to use the computer’s ability to assist doctors to pre-diagnosis of TAO for follow-up treatment. In this paper, according to the routine diagnosis process of doctors, a comprehensive detection system network is proposed. The network consists of three different convolutional neural subnetwork, corresponding to three bitmaps of eye CT images .Finally, the output of three subnetwork are combined to generate final diagnostic result by the majority vote. Through the experiment, the detection system, whose recognition rata is 94.87%, has a good ability to identify the characteristics of TAO, can assist the doctor in the early diagnosis of TAO in a certain extent, so as to help early patients get timely treatment.

Paper Details

Date Published: 6 March 2018
PDF: 6 pages
Proc. SPIE 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 106100E (6 March 2018); doi: 10.1117/12.2305837
Show Author Affiliations
Cong Wu, Hubei Univ. of Technology (China)
Jicheng Jin, Hubei Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10610:
MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging
Hong Sun; Henri Maître; Bruce Hirsch, Editor(s)

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