2019
DOI: 10.1016/j.imu.2019.100173
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Application of CAD systems for the automatic detection of lung nodules

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Cited by 50 publications
(18 citation statements)
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“…Coordinates of the raw medical image data are in the world coordinate system. We need to convert the world coordinate system to the image coordinate system as illustrated in (4). image_coordinates = |world_coordinates − origin| spacing (4) Fig.…”
Section: ) Coordinate Transformationmentioning
confidence: 99%
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“…Coordinates of the raw medical image data are in the world coordinate system. We need to convert the world coordinate system to the image coordinate system as illustrated in (4). image_coordinates = |world_coordinates − origin| spacing (4) Fig.…”
Section: ) Coordinate Transformationmentioning
confidence: 99%
“…In the process of lung cancer screening, radiologists are prone to make mistakes due to a large number of slices. Hence, it is necessary to develop a Computer-Aided Diagnosis (CAD) system that can not only automatically detect but also assist to observe the pulmonary nodules [4]. Traditional auxiliary diagnosis system for pulmonary nodules includes preprocessing, lung segmentation, Region of Interest (RoI) detection, feature extraction, feature selection, classification, false positive reduction and other steps [5].…”
Section: Introductionmentioning
confidence: 99%
“…For each patient, thousands of images are acquired, and it is extremely hard for a single physician to analyze all of them in detail [ 63 ]. Furthermore, human analysis is limited because of its subjective nature, in particular when comparing nodules pattern [ 64 ]. Conversely, computers/artificial intelligence can accomplish a specific procedure with high precision, often in a shorter time.…”
Section: Imaging Evaluationmentioning
confidence: 99%
“…CT images are generally used for processing medical images, because of their low noise level and high resolution. The use of Computer-Aided identification system in lung cancer treatment is studied in this paper, consisting segmentation as well as pre-processing techniques, as well as data analysis methods [10]. In order to help with collection, analysis, evaluation of imagery medical information, the main objective was to discover new technology for computational diagnostic tools development.…”
Section: Introductionmentioning
confidence: 99%