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J-GLOBAL ID:202202235483530280   Reference number:22A0881583

Blood Vessel Structure Analysis Using Simulation Models for Polyp Shape Recovery from Endoscopic Images

内視鏡画像からのポリープ形状復元を目的としたシミュレーションモデルによる血管構造解析
Author (6):
Material:
Volume: 121  Issue: 358(EST2021 56-93)  Page: 130-135 (WEB ONLY)  Publication year: Jan. 20, 2022 
JST Material Number: U2030A  ISSN: 2432-6380  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Category name(code) classified by JST.
Medical image processing 
Reference (5):
  • Hiroyasu Usami, Yuji Iwahori, Manas Kamal Bhuyan, Aili Wang, Naotaka Ogasawara, and Kunio Kasugai. Polyp shape recovery using vascular border from single colonoscopy image. In BIOIMAGING, pp. 104-111, 2019.
  • Olaf Ronneberger, Philipp Fischer, and Thomas Brox. U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention, pp. 234-241. Springer, 2015.
  • Berthold KP Horn. Shape from shading: A method for obtaining the shape of a smooth opaque object from one view. 1970.
  • Martin A Fischler and Robert C Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, Vol. 24, No. 6, pp. 381-395, 1981.
  • Michael Oren and Shree K Nayar. Generalization of the lambertian model and implications for machine vision. International Journal of Computer Vision, Vol. 14, No. 3, pp. 227-251, 1995.

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