Colonoscopy is a routine outpatient procedure used to examine the colon and rectum for
any abnormalities including polyps, diverticula and narrowing of colon structures. A …

Over the past decade, technological advances in deep learning have led to the introduction
of artificial intelligence (AI) in medical imaging. The most commonly used structure in image …

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prohibited. malignancy, and accuracies of over 90% and 63% to classify the gastric location …

Artificial intelligence (AI) within GI endoscopy is an area of growing interest and ongoing
innovation. The use of computer-aided diagnosis (CADx) and computer-aided detection …

Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Accurate annotation of the medical image is the crucial step for image artificial intelligence
(AI) clinical application. However, annotating medical image will incur a lot of annotation …

In recent years, a steady swell of biological image data has driven rapid progress in
healthcare applications of computer vision and machine learning. To make sense of this …

Accurate and massive medical image annotation data is crucial for diagnosis, surgical
planning, and deep learning in the development of medical images. However, creating large …

Current research on medical image processing relies heavily on the amount and quality of
input data. Specifically, supervised machine learning methods require well-annotated …

Objective Computer vision (CV) is a subset of artificial intelligence that performs
computations on image or video data, permitting the quantitative analysis of visual …