Results 31 to 40 of about 16,800,197 (383)
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie +6 more
wiley +1 more source
, 2020 When the authors visited community mental health facilities as part of their third year family medicine residency, they found that they learnt most about learning itself. This article describes their experience and some of their conclusions about themselves as people, as well as their function as family medicine residents.
Mei Kuin Lai +3 more
openaire +3 more sources
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Treatment planning for head‐and‐neck (H&N) cancer, in particular oropharynx, nasopharynx, and paranasal sinus cases, at our center requires noncoplanar proton beams due to the complexity of the anatomy and target location. Targeting accuracy for all beams is carefully evaluated by using image guidance before delivering proton beam ...
Nrusingh C. Biswal +5 more
wiley +1 more source
Learning to Learn and Teaching to Learn
MedEdPublish, 2016 This article was migrated. The article was marked as recommended. Medical training is notoriously difficult, and the motivation to learn and teach can decline with time. Building from the principles of self-determination theory, we provide reflections of a trainee, a trainee and supervisor, and a faculty supervisor on the role of promoting autonomy ...
Jia Zhu, Daniel J. Schumacher
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Image quality improvement in low‐dose chest CT with deep learning image reconstruction
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Objectives To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. Methods This retrospective study included 86 patients who underwent low‐dose CT for lung cancer screening ...
Qian Tian +7 more
wiley +1 more source
ONLINE LEARNING – BETWEEN NECESSITY AND OPTION
Journal of Education, Society & Multiculturalism, 2021 The analysis of the educational policy in relation to online education takes into account major decisions that have a direct impact on all those involved in taking these decisions and, of course, on how they become functional.
ONLINE LEARNING – BETWEEN NECESSITY AND OPTION
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Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose To assess whether the joint application of hybrid iterative reconstruction (HIR) and an adaptive filter (AF) could reduce streak artifacts and improve image quality of neck‐and‐shoulder computed tomography (CT). Methods This study included 96 patients with suspicious neck lesions who underwent a routine nonenhanced scan on a 64‐slice ...
Wenfeng Jin +6 more
wiley +1 more source
International Journal of Indian Psychology, 2016 Success in the knowledge society depends on the ability to learn. In the context of the knowledge economy, the competence of learning to learn is a basic skill and a quintessential tool for lifelong learning and thus education and training needs to provide the learning environment for the development of this competence for all citizens including ...
Gloria Flores, Peter J. Denning
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Current Opinion in Behavioral Sciences, 2019 In good old-fashioned artificial intelligence (GOFAI), humans specified systems that solved problems. Much of the recent progress in AI has come from replacing human insights by learning. However, learning itself is still usually built by humans -- specifically the choice that parameter updates should follow the gradient of a cost function.
Benjamin James Lansdell +1 more
openaire +3 more sources
Impact of flexible noise control (FNC) image processing parameters on portable chest radiography
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract There is a lack of understanding in the performance of flexible noise control (FNC) processing, which is used in digital radiography on a scanner vendor and has four parameters each involving multiple options. The aim of this study was to investigate the impact of FNC on portable chest imaging. An anthropomorphic chest phantom was imaged using
Krystal M. Kirby +6 more
wiley +1 more source