Method for automatically detecting nasal tumor

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20070064983A1
SERIAL NO

11227259

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

The present invention discloses a method for automatically detecting a nasal tumor from the MR (magnetic resonance) images. First, the pixels that have specific trends and are affected by contrast agents with specific level will be filtered according to the developing coefficient and control coefficient of grey prediction. Then the tumor area would be detected by using Fuzzy C-means clustering technique to distinguish the differences between normal tissue and tumor. Owing to the work of grey prediction, calculation in the Fuzzy C-means clustering technique can be dramatically reduced and the result of tumor detection is enhanced.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
NATIONAL KAOHSIUNG FIRST UNIVERSITY OF SCIENCE AND TECHNOLOGYNO 2 CHOYUEH RD NANTZE DIST KAOHSIUNG R O C

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chang, Chun-Pin Rende Township, TW 2 3
Huang, Wen-Chen Kaohsiung, TW 12 104

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation