Two staged machine learning network for spine segmentation and recognition

Pin Hsien Liu, Zhen You Lian, Chih Yang Lin, Cheng Hung Chuang, Chung Lin Huang, Yuan Yu Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes a method that utilizes two stages of deep learning networks for segmentation and recognition of spinal vertebrae. The first stage involves a y-shaped model that learns the basic shape of vertebrae to segment the spine. The second stage determines the order of each vertebra in the spine. This two-stage method provides more reliable spine segmentation results.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages194-197
Number of pages4
ISBN (Electronic)9781538668573
DOIs
StatePublished - 2 Jul 2018
Event20th IEEE International Symposium on Multimedia, ISM 2018 - Taichung, Taiwan
Duration: 10 Dec 201812 Dec 2018

Publication series

NameProceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018

Conference

Conference20th IEEE International Symposium on Multimedia, ISM 2018
Country/TerritoryTaiwan
CityTaichung
Period10/12/1812/12/18

Keywords

  • Spine segmentation
  • Two staged network
  • Y-shape model

Fingerprint

Dive into the research topics of 'Two staged machine learning network for spine segmentation and recognition'. Together they form a unique fingerprint.

Cite this