computer-aided detection

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computer-aided detection



Software that alerts a radiologist to abnormal or suspicious elements of a radiological image.
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Computer-aided detection (CADe) or computer-aided diagnosis (CADx), is a technology designed to decrease observational oversights or false negative rates.
isgum et al., "Contextual computer-aided detection: improving bright lesion detection in retinal images and coronary calcification identification in CT scans," Medical Image Analysis, vol.
Can computer-aided detection with double reading of screening mammograms help decrease the false-negative rate?
Computer-Aided Detection (CAD), which is becoming more widely used as an adjunct technology to conventional mammography, improves cancer detection by automatically locating and highlighting regions of concern through digital analysis of conventional mammograms.
Computer-Aided Detection (CAD) system of lung is one of the applications of machine vision; it can reduce overload visual fatigue of the radiologist and decrease the possibility of the resulting miscarriage or omission and also provide auxiliary diagnosis results for the doctor as "third party." Usually, the lung CAD system includes the following modules: acquisition of the lung CT image data, preprocessing of CT image, lung parenchyma segmentation, detection of VOI (Volume of Interest) or ROI (Region of Interest) in candidate nodules images (mainly refers to the extraction or segmentation), calculation and selection of ROI or VOI features, and recognition of pulmonary nodules, where pulmonary nodules recognition is the core module of the CAD system.
Current progress has shown that computer-aided detection (CAD) systems can assist doctors in finding breast masses from digitized mammograms at an early stage, which greatly improves doctor's working efficiency [5].
Yin, "Pulmonary nodules: computer-aided detection in digital chest images.," Radiographics : a review publication of the Radiological Society of North America, Inc, vol.
Computer-aided detection (CAD) has been developed to assist radiologists to resolve the critical information from complex data, which improves the accuracy and robustness of diagnosis [22-25].
For minimal human interaction with adequate efficiency, computer-aided detection (CAD) systems are utilized as a second reader to automatically detect the lesions during the screening trials.
Further technological innovations, such as high-resolution synthetic 2D mammograms and computer-aided detection for tomosynthesis, may continue to improve the accuracy and efficiency of both mammographic screening and diagnosis.
It provides recommendations for its routine clinical use, explaining the physics of tomosynthesis, clinical evaluation of digital breast tomosynthesis, and innovations and future developments like synthesized digital two-dimensional mammography, computer-aided detection in tomosynthesis, tomosynthesis-guided interventions, and contrast-enhanced tomosynthesis.
In fact, the sensitivity of mammography was actually decreased by computer-aided detection (CAD) in a subgroup of radiologists who practiced at some sites that used CAD and others that did not.

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