Results 41 to 50 of about 11,892,944 (395)
Semi‐supervised classification of fundus images combined with CNN and GCN
Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan+8 more
wiley +1 more source
Background and Aims Complexity of community‐based homecare for older adults has increased significantly in the past decade in Ontario, Canada. Personal support workers (PSWs), who are unregulated and vary in formal education, provide the majority of ...
Catherine Brookman+4 more
doaj +1 more source
The Phelophepa train, “train of hope, train of healing”
This article explores the significance of the Phelophepa train, also known as the Phelophepa Health Care Train (HCT). This train started out with only three coaches but because of the need for its services and its subsequent success, it expanded to sixteen coaches in a very short period of time.
openaire +3 more sources
Abstract Entry into the field of clinical medical physics is most commonly accomplished through the completion of a Commission on Accreditation of Medical Physics Educational Programs (CAMPEP)‐accredited graduate and residency program. To allow a mechanism to bring valuable expertise from other disciplines into clinical practice in medical physics, an “
Joann I. Prisciandaro+6 more
wiley +1 more source
Turbo Training with Token Dropout [PDF]
The objective of this paper is an efficient training method for video tasks. We make three contributions: (1) We propose Turbo training, a simple and versatile training paradigm for Transformers on multiple video tasks. (2) We illustrate the advantages of Turbo training on action classification, video-language representation learning, and long-video ...
arxiv
Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein+7 more
wiley +1 more source
The use of modern didactic programs in mathematics in virtual reality (VR) requires approbation, proof of efficiency and environmental friendliness. VR properties: the ability to animate (perform actions with objects), interactivity and immersion in the ...
Zikeeva E.A.+3 more
doaj +1 more source
A training algorithm for optimal margin classifiers
A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, polynomials, and Radial Basis ...
B. Boser, Isabelle M Guyon, V. Vapnik
semanticscholar +1 more source
Image quality improvement in low‐dose chest CT with deep learning image reconstruction
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
Nuclear Security Training: A New Approach for Educating Nuclear Technology in Indonesia
Indonesia has planned to erect Nuclear Power Plant for along time, but the government always postponed the plan due to the presence of anti-nuclear group that decreases the public acceptance.
Ferdiansjah+4 more
doaj +1 more source