Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI
technology can be subdivided into many technologies such as machine learning and deep …

The study objective: the study objective is to examine the use of artificial intelligence (AI) in
the diagnosis, treatment, and prognosis of Colorectal Cancer (CRC) and discuss the future …

Several researches have established that the sensitivity of visual assessment of smaller
intracranial aneurysms is not satisfactory. Computer-aided diagnosis based on volume …

Purpose To evaluate stand-alone performance of computer-aided detection (CAD) for
colorectal polyps of 6 mm or larger at computed tomographic (CT) colonography in a large …

The purpose was to evaluate the ability of computer-aided detection (CAD) software to
detect morphologically flat early colonic carcinoma using CT colonography (CTC). Twenty …

Most previous efforts in develo** computer-aided detection (CADe) of colonic polyps
apply similar measures or parameters to detect polyps regardless of their locations under an …

We present a complete, end-to-end computer-aided detection (CAD) system for identifying
lesions in the colon, imaged with computed tomography (CT). This system includes facilities …

This paper presents a local intensity structure analysis based on an intensity targeted radial
structure tensor (ITRST) and the blob-like structure enhancement filter based on it (ITRST …

Objective: Computer-aided detection (CAD) systems for computed tomography
colonography (CTC) can automatically detect colorectal polyps. The main problem of …

RATIONALE AND OBJECTIVES: Fecal tagging computed tomographic colonography
(ftCTC) reduces the discomfort and the inconvenience of patients associated with bowel …