Art

J-GLOBAL ID：202402285135085701   Reference number：24A0249123

Part Affinity Fields and CoordConv for Detecting Landmarks of Lumbar Vertebrae and Sacrum in X-ray Images

X線画像における腰椎と仙骨のランドマークを検出するための部分親和性場とCoordConv【JST・京大機械翻訳】

Author (4)： An Chang-Hyeon (Intelligent Computer Vision Software Laboratory (ICVSLab), Department of Electronic Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan 38541, Gyeongbuk, Korea) ,  Lee Jeong-Sik (Intelligent Computer Vision Software Laboratory (ICVSLab), Department of Electronic Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan 38541, Gyeongbuk, Korea) ,  Jang Jun-Su (Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, South Chungcheong, Korea) ,  Choi Hyun-Chul (Intelligent Computer Vision Software Laboratory (ICVSLab), Department of Electronic Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan 38541, Gyeongbuk, Korea)
Material： Sensors (Web)
Volume： 22  Issue： 22  Page： 8628  Publication year： 2022 
JST Material Number： U7015A  ISSN： 1424-8220  CODEN： SENSC9  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： With the prevalence of degener...

Register(free) or Log In to access     To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=24A0249123&from=J-GLOBAL&jstjournalNo=U7015A") }}

Thesaurus term： network ,  end plate(nerve) ,  spinal cord ,  *image ,  vertebral column ,  *affinity ,  *lumbar vertebrae ,  *X-ray image ,  robustness ,  *sacrum
Semi thesaurus term： 椎骨 ,  放射線科医 ,  臨床医 ,  コーナー検出 ,  深層学習 , 【Automatic Indexing@JST】

Author keywords (6)： X-ray image ,  spine detection ,  landmark detection ,  random spine cutout ,  CoordConv ,  part affinity fields

JST classification (4)： Graphic and image processing in general  (JE04010I) ,  Pattern recognition  (JE07000S) ,  Biometry  (EL03020C) ,  Medical image processing  (JE04020T)

Reference (27)：

• Yi, J.; Wu, P.; Huang, Q.; Qu, H.; Metaxas, D.N. Vertebra-focused landmark detection for scoliosis assessment. In Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, IA, USA, 3-7 April 2020; pp. 736-740.
• Yeh, Y.C.; Weng, C.H.; Huang, Y.J.; Fu, C.J.; Tsai, T.T.; Yeh, C.Y. Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs. Sci. Rep. 2021, 11, 7618.
• Cho, B.H.; Kaji, D.; Cheung, Z.B.; Ye, I.B.; Tang, R.; Ahn, A.; Carrillo, O.; Schwartz, J.T.; Valliani, A.A.; Oermann, E.K.; et al. Automated measurement of lumbar lordosis on radiographs using machine learning and computer vision. Glob. Spine J. 2020, 10, 611-618.
• Tran, V.L.; Lin, H.Y.; Liu, H.W. MBNet: A multi-task deep neural network for semantic segmentation and lumbar vertebra inspection on X-ray images. In Proceedings of the Asian Conference on Computer Vision, Kyoto, Japan, 30 November-4 December 2020.
• Kim, K.C.; Cho, H.C.; Jang, T.J.; Choi, J.M.; Seo, J.K. Automatic detection and segmentation of lumbar vertebrae from X-ray images for compression fracture evaluation. Comput. Methods Programs Biomed. 2021, 200, 105833.

Terms in the title (5)： X線画像 ,  腰椎 ,  仙骨 ,  ランドマーク ,  親和性