Results 71 to 80 of about 57,916 (247)

Learning Radiologist’s Step-by-Step Skill for Cervical Spinal Injury Examination: Line Drawing, Prevertebral Soft Tissue Thickness Measurement, and Swelling Detection

open access: yesIEEE Access, 2018
Radiologists examine lateral view radiographs of the cervical spine to determine the presence of cervical spinal injury. In this paper, we demonstrate that an artificial intelligence neural network can learn the steps employed by a radiologist when ...
Young Han Lee   +3 more
doaj   +1 more source

Multi-professional image interpretation: Performance in preliminary clinical evaluation of appendicular radiographs [PDF]

open access: yesRadiography, 2019
The study evaluated the performance of a cohort of healthcare professionals in image interpretation of appendicular radiographic examinations following a preliminary clinical evaluation (PCE) course.A systematic review and meta-analysis of image interpretation performance by non-medical staff was undertaken.
P. Lockwood, L. Pittock
openaire   +3 more sources

A review of computer aided interpretation technology for the evaluation of radiographs of aluminum welds [PDF]

open access: yes
Industrial radiography is a well established, reliable means of providing nondestructive structural integrity information. The majority of industrial radiographs are interpreted by trained human eyes using transmitted light and various visual aids ...
Lloyd, J. F., Sr.
core   +1 more source

Quality enhancement of radiographic x-ray images by interpretable mapping

open access: yesMedical Imaging 2025: Physics of Medical Imaging
X-ray imaging is the most widely used medical imaging modality. However, in the common practice, inconsistency in the initial presentation of X-ray images is a common complaint by radiologists. Different patient positions, patient habitus and scanning protocols can lead to differences in image presentations, e.g., differences in brightness and contrast
Yang, Hongxu   +5 more
openaire   +2 more sources

Use of artificial intelligence for classification of fractures around the elbow in adults according to the 2018 AO/OTA classification system

open access: yesBMC Musculoskeletal Disorders
Background This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.
Annelie Pettersson   +6 more
doaj   +1 more source

Automated analysis of radar imagery of Venus: handling lack of ground truth [PDF]

open access: yes, 1994
Lack of verifiable ground truth is a common problem in remote sensing image analysis. For example, consider the synthetic aperture radar (SAR) image data of Venus obtained by the Magellan spacecraft.
Burl, M. C.   +3 more
core   +1 more source

Improving the delivery of health care to patients: radiographers and frontline image interpretation

open access: yesJournal of Medical Radiation Sciences, 2018
Australia led the world in raising the level of entry-level education to practice as a radiographer. It now lags behind in formalising radiographer input into the process of image interpretation. The time has come to rectify this situation.
openaire   +3 more sources

The establishment of an assessment method for radiographers to undertake mammographic image interpretation and reporting [PDF]

open access: yesBreast Cancer Research, 2002
The radiographic report is a communication channel for the reporter to the referring clinician. It is sometimes crucial in major decisions and may have legal significance [1]. The problem for the educationalist when assessing radiographers to undertake mammographic image reporting is that there is no performance standard [2].
openaire   +2 more sources

Assessing the Inter-Operator Variability in Dynamic Chest Radiography Image Interpretation [PDF]

open access: bronze, 2020
R.E. Robinson   +7 more
openalex   +1 more source

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