Results 81 to 90 of about 1,125,562 (375)

RadLing: Towards Efficient Radiology Report Understanding [PDF]

open access: yes61st Annual Meeting of the Association for Computational Linguistics (ACL), July 9-14, 2023, Toronto, Canada, 2023
Most natural language tasks in the radiology domain use language models pre-trained on biomedical corpus. There are few pretrained language models trained specifically for radiology, and fewer still that have been trained in a low data setting and gone on to produce comparable results in fine-tuning tasks.
arxiv  

JACMP 2005–2009

open access: yes
Journal of Applied Clinical Medical Physics, EarlyView.
Timothy D. Solberg
wiley   +1 more source

Evaluating the use of diagnostic CT with flattening filter free beams for palliative radiotherapy: Dosimetric impact of scanner calibration variability

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Palliative radiotherapy comprises a significant portion of the radiation treatment workload. Volumetric‐modulated arc therapy (VMAT) improves dose conformity and, in conjunction with flattening filter free (FFF) delivery, can decrease treatment times, both of which are desirable in a population with a high probability of retreatment ...
Madeleine L. Van de Kleut   +2 more
wiley   +1 more source

Adequacy of Communicating Results From Screening Mammograms to African American and White Women

open access: yes, 2007
Objective. We examined whether African American women were as likely as White women to receive the results of a recent mammogram and to self-report results that matched the mammography radiology report (i.e., were adequately communicated). We also sought
Calvocoressi, Lisa   +5 more
core   +2 more sources

Imaging diagnosis-computed tomography of traction bronchiectasis secondary to pulmonary fibrosis in a Patterdale Terrier [PDF]

open access: yes, 2017
An 8-year-old, Patterdale terrier was referred for evaluation of tachypnoea, exercise intolerance, and weight loss. Computed tomographic images showed pneumomediastinum, diffuse pulmonary ground glass opacity, and marked dilatation of peripheral bronchi,
Fitzgerald, E   +2 more
core   +1 more source

JACMP 2020–2024

open access: yes
Journal of Applied Clinical Medical Physics, EarlyView.
Susan L. Richardson
wiley   +1 more source

Evaluation of the effect of metal stents on dose perturbation in the carbon beam irradiation field

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Propose Carbon ion therapy is indicated for cases in which stents have been inserted, such as bile ducts, but the effect of metal stents on carbon ion therapy is unclear. In this study, the dose perturbation of carbon ion therapy caused by metallic bile duct stents was evaluated by dosimetry. Materials and methods Five different types of metal
Yuya Miyasaka   +8 more
wiley   +1 more source

The Future of Radiology [PDF]

open access: yesRambam Maimonides Medical Journal, 2011
It has been my good fortune to live and practice radiology during a long period of momentous change – to see the transformation of the discipline from a supportive service into a mainstream, essential branch of clinical medicine. I remember wearing red goggles to adapt my vision before performing fluoroscopy; observing the horrible, now thankfully ...
openaire   +4 more sources

Xanthogranulomatous pyelonephritis presenting as giant gluteal abscess

open access: yesRadiology Case Reports, 2020
Xanthogranulomatous pyelonephritis (XGP) is a rare chronic suppurative granulomatous infection of the kidney associated with renal obstruction and progressive renal parenchymal destruction.
Zablon Bett, MBCHB, MMED RADIOLOGY
doaj  

Learning Diagnosis of COVID-19 from a Single Radiological Image [PDF]

open access: yesarXiv, 2020
Radiological image is currently adopted as the visual evidence for COVID-19 diagnosis in clinical. Using deep models to realize automated infection measurement and COVID-19 diagnosis is important for faster examination based on radiological imaging. Unfortunately, collecting large training data systematically in the early stage is difficult. To address
arxiv  

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