AIMC Topic: Capsule Endoscopy

Clear Filters Showing 111 to 117 of 117 articles

Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
As one of the most common human helminths, hookworm is a leading cause of maternal and child morbidity, which seriously threatens human health. Recently, wireless capsule endoscopy (WCE) has been applied to automatic hookworm detection. Unfortunately...

Deep learning for polyp recognition in wireless capsule endoscopy images.

Medical physics
PURPOSE: Wireless capsule endoscopy (WCE) enables physicians to examine the digestive tract without any surgical operations, at the cost of a large volume of images to be analyzed. In the computer-aided diagnosis of WCE images, the main challenge ari...

Unusual presentation of obscure Meckel diverticulum treated with robot-assisted diverticulectomy: A case report.

Medicine
INTRODUCTION: Meckel diverticulum (MD) is the most common congenital abnormality of gastrointestinal tract. Tough believed to occur in 2% of population, most of them remain veiled because majority are clinically asymptomatic and remain obscure in rad...

A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Wireless Capsule Endoscopy (WCE) is a standard non-invasive modality for small bowel examination. Recently, the development of computer-aided diagnosis (CAD) systems for gastrointestinal (GI) bleeding detection in WCE image videos has become an activ...

[Latest development of intestinal capsule endoscopy robot].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
With the development of capsule endoscopy, developing active capsule endoscopy robot becomes a growing trend. Although stomach diagnosis with robot has been put into clinical test, the realization of the complete intestinal capsule endoscopy is still...

Content based image retrieval using local binary pattern operator and data mining techniques.

Studies in health technology and informatics
Content based image retrieval (CBIR) concerns the retrieval of similar images from image databases, using feature vectors extracted from images. These feature vectors globally define the visual content present in an image, defined by e.g., texture, c...