Building and Exploitation of Learning Curves to Train Radiographer Students in X-Ray CT Image Postprocessing

Zorn, Claudine; Bauer, Eric; Feffer, Marie-Laurence; Moerschel, Elisabeth; Bierry, Guillaume; Choquet, Philippe; Dillenseger, Jean-Philippe

doi:10.1016/j.jmir.2019.11.135

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…They have also assessed each student's achievement accuracy at each repetition. Results have shown that the learning rates for the two protocols are 63% and 56%, respectively [ 4 ]. Li et al has found that norm regularization has attracted attention in computerized CT scan image reconstruction.…”

Section: Related Workmentioning

confidence: 99%

Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm

Shen

2022

Applied Bionics and Biomechanics

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With the increasingly important role of image segmentation in the field of computed tomography (CT) image segmentation, the requirements for image segmentation technology in related industries are constantly improving. When the hardware resources can fully meet the needs of the fast and high-precision image segmentation program system, the main means of how to improve the image segmentation effect is to improve the related algorithms. Therefore, this study has proposed a combination of genetic algorithm (GA) and Great Law (OTSU) algorithm to form an image segmentation algorithm-immune genetic algorithm (IGA) algorithm. The algorithm has improved the segmentation accuracy and efficiency of the original algorithm, which is beneficial to the more accurate results of CT image segmentation. The experimental results in this study have shown that the operating efficiency of the OTSU segmentation algorithm is up to 75%. The operating efficiency of the GA algorithm is up to 78%. The operating efficiency of the IGA algorithm is up to 92%. In terms of operating efficiency, the OTSU segmentation algorithm has more advantages. In terms of segmentation accuracy, the highest accuracy rate of OTSU segmentation algorithm is 45%. The accuracy of the GA algorithm is 80%. The highest accuracy of the IGA algorithm is 97%. The IGA algorithm is more powerful in terms of operating efficiency and accuracy. Therefore, the application of the IGA algorithm to CT image segmentation is beneficial to doctors to better judge the lesions and improve the diagnosis rate.

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Section: Related Workmentioning

confidence: 99%

Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm

Shen

2022

Applied Bionics and Biomechanics

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“…The intensive use of digital technologies at all stages of education development, online learning technologies, educational activity in the virtual space (for example, in social networks) -leads to the fact that a person in the educational space leaves a digital footprint. [2].…”

Section: Introductionmentioning

confidence: 99%

Problems of Professional Self-Development Among Undergraduates in the Digital Space, Identified During the COVID-19 Pandemic

Bashkireva

Morozov

et al. 2021

SHS Web Conf.

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The article examines the problems of professional self- development among undergraduates in the digital space, identified during the COVID-19 pandemic. The results of the study showed that students have characteristics that are necessary for further personal growth. They want to know themselves and ready to change and learn new things, improve themselves. Conducted during a pandemic and distance learning in self- isolation showed that 50% of students expressed satisfaction with this form of education, explaining their opinion with a high level of independent search for the necessary information, opportunities for self-development, self-realization, and self-improvement. Among the difficulties of distance learning, all surveyed identified: search and critical analysis of digital information; communicative dissatisfaction, the need for approval. The surveyed students in their self-development need a micro- and macro- environment that would create a secure creative educational space. It is necessary to search for new solutions to overcome psychological barriers associated with the need for self-development as future highly qualified specialists in the context of modern trends in the development of digital education.

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Paradigms extended: how to integrate behaviorism, constructivism, knowledge domain, and learner mastery in instructional design

Aylward

Cronjé

2022

Education Tech Research Dev

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Building and Exploitation of Learning Curves to Train Radiographer Students in X-Ray CT Image Postprocessing

Cited by 4 publications

References 12 publications

Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm

Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm

Problems of Professional Self-Development Among Undergraduates in the Digital Space, Identified During the COVID-19 Pandemic

Paradigms extended: how to integrate behaviorism, constructivism, knowledge domain, and learner mastery in instructional design

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