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OBJECTIVE We developed a digital image database (www.macnet.or.jp/jsrt2/cdrom_nodules.html ) of 247 chest radiographs with and without a lung nodule. The aim of this study was to investigate the characteristics of image databases for potential use in various digital image research projects. Radiologists' detection of solitary pulmonary nodules included in(More)
An automated computerized scheme has been developed for the detection and characterization of diffuse lung diseases on high-resolution computed tomography (HRCT) images. Our database consisted of 315 HRCT images selected from 105 patients, which included normal and abnormal slices related to six different patterns, i.e., ground-glass opacities, reticular(More)
RATIONALE AND OBJECTIVE We developed a technique that uses a multiple massive-training artificial neural network (multi-MTANN) to reduce the number of false-positive results in a computer-aided diagnostic (CAD) scheme for detecting nodules in chest radiographs. MATERIALS AND METHODS Our database consisted of 91 solitary pulmonary nodules, including 64(More)
RATIONALE AND OBJECTIVES A computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening was developed. MATERIALS AND METHODS Our scheme is based on a difference-image technique for enhancing the lung nodules and suppressing the majority of background normal structures. The difference image(More)
OBJECTIVE The purpose of our study was to evaluate whether a computer-aided diagnosis (CAD) scheme can assist radiologists in distinguishing small benign from malignant lung nodules on high-resolution CT (HRCT). MATERIALS AND METHODS We developed an automated computerized scheme for determining the likelihood of malignancy of lung nodules on multiple HRCT(More)
In this study, we initially investigated various aspects of requirements for a computer interface employed in receiver operating characteristic (ROC) and free-response ROC (FROC) observer studies which involve digital images and ratings obtained by observers (radiologists). Secondly, by taking into account these aspects, an all-purpose computer interface(More)
We developed an advanced computer-aided diagnostic (CAD) scheme for the detection of various types of lung nodules on chest radiographs intended for implementation in clinical situations. We used 924 digitized chest images (992 noncalcified nodules) which had a 500 x 500 matrix size with a 1024 gray scale. The images were divided randomly into two sets(More)
RATIONALE AND OBJECTIVES The aim of the study is to investigate the effect of a computer-aided diagnostic (CAD) scheme on radiologist performance in the detection of lung cancers on chest radiographs. MATERIALS AND METHODS We combined two independent CAD schemes for the detection and classification of lung nodules into one new CAD scheme by use of a(More)
We report a case of a Pick's disease (frontal predominant type) with unusual laughing. The patient was a 54-year-old, right handed, female. The patient began to show low activity and inappropriate laughing at about 51 years. She did not speak at all and showed weird laughing with a voice "hi hi hi hi hi hi" frequently at first presentation. When asked some(More)
Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. The basic concept of CAD is to provide computer output as a second opinion to assist radiologists' image interpretations by improving the accuracy and consistency of radiologic diagnosis and also by reducing the image-reading time. To(More)