Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …

The treatment and diagnosis of colon cancer are considered to be social and economic
challenges due to the high mortality rates. Every year, around the world, almost half a million …

Chest X-ray image contains sufficient information that finds wide-spread applications in
diverse disease diagnosis and decision making to assist the medical experts. This paper …

Background: High-quality colonoscopy is essential to prevent the occurrence of colorectal
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …

The gastrointestinal polyp (GIP) is the abnormal growth of tissues in digestive organs.
Identifying these polyps from endoscopy video or image is a tremendous task to reduce the …

Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

Colorectal cancer (CRC) is a common digestive system tumor with high morbidity and
mortality worldwide. At present, the use of computer-assisted colonoscopy technology to …

This research presents a machine vision approach to detect lesions in liver ultrasound as
well as resolving some issues in ultrasound such as artifacts, speckle noise, and blurring …

The endoscopy procedure has demonstrated great efficiency in detecting stomach lesions,
with extensive numbers of endoscope images produced globally each day. The content …

This study describes an automated detection of polyp type as it is very important to
determine the existence of dysplasia—a stage leading to the development of gastrointestinal …