Results 151 to 160 of about 642,932 (298)
Using Convolutional Neural Networks for the Classification of Suboptimal Chest Radiographs
This study evaluated DenseNet121 and YOLOv8 neural networks in detecting suboptimal chest x‐rays for quality control. Through training, validation, and testing, both AI models effectively classified chest X‐ray quality, highlighting the potential to provide radiographers with feedback to enhance image quality.
Emily Huanke Liu +2 more
wiley +1 more source
The performance of the poly(aluminum chloride) (PAC)-nanofibrillated cellulose (NFC)-colloidal silica (SiO2) system was evaluated relative to the retention and drainage of old corrugated container (OCC) pulp.
Seyed Ali Askarabadi +3 more
doaj
SUPRACONDYLAR HUMERUS FRACTURES- EXPERIENCE AT A FORWARD TREATMENT CENTRE IN KASHMIR
Objective: To assess the results of open reduction and internal fixation with K-wires for displaced Supracondylar humerus fractures in children in an isolated forward treatment centre (FTC) in Neelum valley.
Afzal Saeed Awan +2 more
doaj
Patient Dose Optimisation of Abdominopelvic Protocols During X‐Ray Imaging
This study evaluates organ doses in abdominopelvic radiography for both erect and supine positions, addressing dose optimisation concerns in Ghana. Using CalDose X and thermoluminescence dosimeters, organ doses and image quality were analysed, revealing significant dose reductions with optimised exposure parameters (70 kVp, 10 mAs, 110 cm FDD).
Emmanuel Ekem‐Ferguson +3 more
wiley +1 more source
An Analysis of Acquisition Dose in Male Mammography
This retrospective study analysed 266 male breast imaging acquisitions across two Australian hospital sites, comparing radiation doses from full‐field digital mammography (FFDM) and digital breast tomosynthesis (DBT). DBT doses were significantly higher than FFDM, while FFDM glandular doses were lower than previously reported male and female cohorts ...
Zechary Ng +3 more
wiley +1 more source
Query, PACS and simple-PAC learning
We study a distribution dependent form of PAC learning that uses probability distributions related to Kolmogorov complexity. We relate the PACS model, defined by Denis, D'Halluin and Gilleron, with the standard simple-PAC model and give a general technique that subsumes the results of Denis et al and Parekh and Honavar.
Castro Rabal, Jorge +1 more
openaire +1 more source
Radiation Dose and Risk in the Radiological Investigation of Suspected Non‐Accidental Injury (NAI)
This study is a retrospective analysis of 362 skeletal surveys performed over a 5‐year period for children under 5 years of age for suspected non‐accidental injury. We present effective dose data and the associated risks of radiation exposure for initial and follow‐up examinations.
Tooba Zaidi, Rikki Nezich
wiley +1 more source
This study retrospectively analysed eight years of neonatal spinal ultrasound data from a major Australian children's hospital to assess the value of imaging for simple sacral dimples. Out of 448 scans, 195 were for an isolated simple dimple, and only two infants (1%) were found to have spinal dysraphism, both with other congenital anomalies.
Nyles Tattersall +5 more
wiley +1 more source
Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025
The Bulletin of the Ecological Society of America, EarlyView.
wiley +1 more source
Artificial Intelligence for Radiographic Image Quality: Radiographers at the Forefront
This editorial highlights the central role of radiographers in leading AI‐driven radiographic image‐quality assessment. It outlines how AI can enhance real‐time feedback, support consistency, and strengthen safe, patient‐centered imaging practice.
Kamarul Amin Abdullah
wiley +1 more source

