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Measurement of Endometrial Thickness Using Deep Neural Network with Multi-task Learning

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成果类型:
会议论文
作者:
He, Jianchong;Liang, Xiaowen;Lu, Yao;Wei, Jun;Chen, Zhiyi
作者机构:
[He, Jianchong; Lu, Yao] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Peoples R China.
[Liang, Xiaowen] Guangzhou Med Univ, Affiliated Hosp 3, Guangzhou, Peoples R China.
[Wei, Jun] Percept Vis Med Technol Co Ltd, Guangzhou, Peoples R China.
[Wei, Jun; Chen, Zhiyi] Univ South China, Affiliated Hosp 1, Med Imaging Ctr, Hengyang, Peoples R China.
语种:
英文
关键词:
Endometrium thickness;ultrasound image;multi-task learning;image process
期刊:
Proceedings of SPIE - The International Society for Optical Engineering
ISSN:
0277-786X
年:
2022
卷:
12083
会议名称:
13th International Conference on Graphics and Image Processing (ICGIP)
会议论文集名称:
Proceedings of SPIE
会议时间:
AUG 18-20, 2021
会议地点:
Yunnan Univ, Kunming, PEOPLES R CHINA
会议主办单位:
Yunnan Univ
主编:
Xiao, L Xu, D
出版地:
1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
出版者:
SPIE-INT SOC OPTICAL ENGINEERING
ISBN:
978-1-5106-5043-5; 978-1-5106-5042-8
基金类别:
National Key R&D Program of China [2018YFC1704206, 2016YFB0200602]; NSFC [81971691, 81801809, 81830052, 81827802, U1811461]; Science and Technology Program of Guangzhou [201804020053]; Department of Science and Technology of Jilin province [20190302108GX]; Construction Project of Shanghai Key Laboratory of Molecular Imaging [18DZ2260400]; Guangdong Province Key Laboratory of Computational Science at the Sun Yat-sen University [2020B1212060032]
机构署名:
本校为其他机构
摘要:
Endometrial receptivity assessment based on the ultrasound image is a common and non-invasive way in clinician practice. Clinicians consider that the thickness of the endometrium is one of the most important assessment markers, which can be calculated with the endometrial region in ultrasound images. Suffering from low contrast of the boundaries in ultrasound images, it's a challenge that makes accurate segmentation of endometrial for thickness calculation. An automated assessment framework with a multi-task learning segmentation network is proposed in this paper. The VGG-based U-net is traine...

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