Results 1 to 10 of about 313,987 (188)
Automated Image Interpretation Computer-Assisted Diagnostics [PDF]
Much of the difficulty in reaching consistent evaluations of radiology and pathology imaging studies arises from subjective impressions of individual observers.
David J. Foran, Wenjin Chen, Lin Yang
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The recent availability of automated computer-assisted diagnosis (CAD) systems for the reading and interpretation of the anti-nuclear antibody (ANA) test performed with the indirect immunofluorescence (IIF) method on HEp-2 cells, has improved the ...
Luigi Cinquanta +3 more
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Recent studies of automatic diagnosis of vertebral compression fractures (VCFs) using deep learning mainly focus on segmentation and vertebral level detection in lumbar spine lateral radiographs (LSLRs).
Seung Min Ryu +7 more
doaj +1 more source
Domestic three-dimensional scanner and printer in patients undergoing rhinoplasty [PDF]
The principles for a successful rhinoplasty include preoperative consultation and planning, as well as a comprehensive clinical analysis and defining rhinoplasty goals. Three-dimensional domestic scanning and printing have recently become available.
Denis Souto Valente, Niveo Steffen
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Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors.
Michael G. Endres +12 more
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CORRELATION BETWEEN AHLBÄCK CLASSIFICATION AND GONARTHROSIS RISK FACTORS [PDF]
Objective: To demonstrate whether or not there is a correlation between the risk factors for gonarthrosis and the radiographic classification of Ahlbäck.
Paulo Alvim Borges +5 more
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PurposeThe Alberta Stroke Program Early Computed Tomography Score (ASPECTS) was designed for semi-quantitative assessment of early ischemic changes on non-contrast computed tomography (NCCT) for acute ischemic stroke (AIS).
Zhongping Chen +9 more
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Visual Interpretability in Computer-Assisted Diagnosis of Thyroid Nodules Using Ultrasound Images
BACKGROUND The number of studies on deep learning in artificial intelligence (AI)-assisted diagnosis of thyroid nodules is increasing. However, it is difficult to explain what the models actually learn in artificial intelligence-assisted medical research.
Xiangqian Zheng +8 more
openaire +3 more sources
The Effect of Multiple Formats on Understanding Complex Visual Displays [PDF]
Students in introductory science courses frequently have difficulty comprehending complex graphics such as contour maps. Computer-assisted instruction (CAI), because of its ability to convey the same information in different formats, may help students ...
Carl Renshaw, Erwin Choi, Holly Taylor
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Objectives Our aim was to develop a structured reporting concept (structured oncology report, SOR) for general follow-up assessment of cancer patients in clinical routine.
Tim Frederik Weber +9 more
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