Name
Abstract | ||
|---|---|---|
Gastric cancer is a great part of the cancer occurrence and the mortality from cancer in Korea, and the early detection of
gastric cancer is very important in the treatment and convalescence. This paper, for the early detection of gastric cancer,
proposes the analysis system of an endoscopic image of the stomach, which detects the abnormal region by using the change
of color in the image and by providing the surface tissue information to the detector. While advanced inflammation and cancer
may be easily detected, early inflammation and cancer are difficult to detect and requires more attention to be detected.
This paper, at first, converts the endoscopic image to the image of the IHb(Index of Hemoglobin) model and removes noises
incurred by illumination and, automatically detects the regions suspected as cancer and provides the related information to
the detector, or provides the surface tissue information for the regions appointed by the detector. This paper does not intend
to provide the final diagnosis of the detected abnormal regions as gastric cancer, but it intends to provide a supplementary
mean to reduce the load and mistaken diagnosis of the detector, by automatically detecting the abnormal regions not easily
detected by the human eye and this provides additional information for the diagnosis. The experiments using practical endoscopic
images for performance evaluation showed that the proposed system is effective in the analysis of endoscopic image of the
stomach.
|
Year | DOI | Venue |
|---|---|---|
2006 | 10.1093/ietfec/e89-a.10.2662 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
early gastric cancer,cancer occurrence,early inflammation,early detection,practical endoscopic image,analysis system,gastric cancer,abnormal region,additional information,related information,endoscopic image,surface tissue information,image recognition,modeling,image analysis,illumination,image processing,diagnosis,malignant tumor,color image,cancer,luminance | Journal | E89-A |
Issue | ISSN | ISBN |
10 | 1745-1337 | 3-540-44894-2 |
Citations | PageRank | References |
2 | 0.42 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| kwangbaek kim | 1 | 110 | 43.94 |
| Sungshin Kim | 2 | 210 | 64.17 |
| Gwang-Ha Kim | 3 | 5 | 1.52 |