Results 1 to 10 of about 277,259 (259)

A New Interpretation of Ptolemy's Germania Magna: Employing Computer-Assisted Image Distortion of a Medieval Map by Donnus Nicolaus Germanus to Examine Post-Glacial Geodynamics in Europe

open access: green
This paper revisits Claudius Ptolemy's depiction of Germania Magna through a multidisciplinary approach, integrating computer-aided distortion analysis of Donnus Nicolaus Germanus's medieval cartography with geological insights. The study proposes that the region underwent significant and complex transformations, likely influenced by tectonic activity,
Sven Mildner
openaire   +2 more sources

[Computer-assisted teleradiographic image interpretation in orthodontics].

open access: closedFogorvosi szemle, 1991
The utilization of a computer supported cephalometric system using the analysis introduced by Hasund is demonstrated. In comparison to the traditional measurement by hand the advantages of a computerized analysis are: Time reduction, minimization of evaluation errors, the use of individualized norm values and the advantages in recording.
A, Reinhardt   +3 more
openaire   +2 more sources

Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs

open access: yesComputational and Structural Biotechnology Journal, 2023
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]

open access: yesRevista Brasileira de Cirurgia Plástica, 2018
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
doaj   +1 more source

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

open access: yesDiagnostics, 2020
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
doaj   +1 more source

Standardization and Quality Assessment Under the Perspective of Automated Computer-Assisted HEp-2 Immunofluorescence Assay Systems

open access: yesFrontiers in Immunology, 2021
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
doaj   +1 more source

CORRELATION BETWEEN AHLBÄCK CLASSIFICATION AND GONARTHROSIS RISK FACTORS [PDF]

open access: yesActa Ortopédica Brasileira, 2018
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
doaj   +2 more sources

Validation of two automated ASPECTS software on non-contrast computed tomography scans of patients with acute ischemic stroke

open access: yesFrontiers in Neurology, 2023
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
doaj   +1 more source

Visual Interpretability in Computer-Assisted Diagnosis of Thyroid Nodules Using Ultrasound Images

open access: yesMedical Science Monitor, 2020
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

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