Automatic extraction of tumor region on X-ray image of animals

Daisuke Wakamiya, Toshiyuki Tanaka, Isao Kabaya, Mikiya Kano, Isamu Iwayoshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Diagnosis by CT images is increasing. But we often use X-ray images because of scanning time and scan cost. It is difficult to extract tumor region of X-ray images, and pathologists have to diagnose many images of tumor. Therefore, demand for the development of CAD system is increasing to support pathologists. Images that we use are dog images. Many people research human Images, but animal images are not researched well. In this paper, automatic extraction of tumor region is studied. We used operation of normalized correlation. Template of this filter looks like mountain. We also used Quoit-filter, that detected region that had possibility of tumor. We calculated edge of tumor to see easily tumors. Our method detected some tumor candidate edge. As future work, we should extract bone region, and some fixed value, including filter size should be automatically determined.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Number of pages4
Publication statusPublished - 2006
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Publication series

Name2006 SICE-ICASE International Joint Conference


Other2006 SICE-ICASE International Joint Conference
Country/TerritoryKorea, Republic of


  • Automatic extraction of tumor
  • CAD
  • Filter
  • Small animals
  • X-ray images

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Automatic extraction of tumor region on X-ray image of animals'. Together they form a unique fingerprint.

Cite this