Results 1 to 10 of about 285,011 (255)

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

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

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

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

The Effect of Multiple Formats on Understanding Complex Visual Displays [PDF]

open access: yes, 2007
Provides pedagogical insight concerning the skill of contours The resource being annotated is: http://www.dlese.org/dds/catalog_DLESE-000-000-004-595 ...
Lamont-Doherty Earth Observatory, Columbia University
core   +3 more sources

Attitudes toward artificial intelligence in pathology: a survey-based study of pathologists in northern India [PDF]

open access: yesJournal of Pathology and Translational Medicine
Background Artificial intelligence (AI) is transforming pathology by enhancing diagnostic accuracy, efficiency, and workflow standardization. Despite its growing presence, AI adoption remains limited, particularly in resource-constrained settings like ...
Manupriya Sharma   +4 more
doaj   +1 more source

Improving radiologic communication in oncology: a single-centre experience with structured reporting for cancer patients

open access: yesInsights into Imaging, 2020
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
doaj   +1 more source

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