Title :
Detection of tumors on stomach wall in X-ray images
Author :
Minemoto, Toshifumi ; Odama, Shinya ; Saitoh, Ayumu ; Isokawa, Teijiro ; Kamiura, Naotake ; Nishimura, Haruhiko ; Ono, Shigeki ; Matsui, Nobuyuki
Author_Institution :
Div. of Comput. Eng., Univ. of Hyogo, Himeji, Japan
Abstract :
Double contrast (DC) X-ray images are useful and cost-effective for the diagnosis of stomach tumors. However, it is difficult to automatically extract tumors from these images. This is due to the variations in the tumors appearing in the images as a result of the changes in stomach shapes and the distribution of barium meal in the stomach. In this paper, we propose an automated method for detecting tumors in DC X-ray images. Our method utilizes the distributions of contrast gradients in the images. The performance of our method is demonstrated by using actual DC X-ray images.
Keywords :
X-ray imaging; feature extraction; medical image processing; object detection; tumours; double contrast X-ray images; stomach tumor diagnosis; stomach wall; tumor detection; Diagnostic radiography; Indexes; Pixel; Stomach; Strontium; Tumors; X-ray imaging;
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6919-2
DOI :
10.1109/FUZZY.2010.5584879
