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http://dx.doi.org/10.2147/AMEP.S202251 | DOI Listing |
Sci Rep
December 2024
Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand.
Ultrasound biomicroscopy (UBM) is the standard for diagnosing plateau iris, but its limited accessibility in routine clinical settings presents challenges. While anterior segment optical coherence tomography (AS-OCT) is more convenient, its effectiveness in detecting plateau iris is limited. Previous research has demonstrated that combining UBM and AS-OCT image pairs through neural style transfer has improved classification accuracy.
View Article and Find Full Text PDFSci Rep
December 2024
College of Furnishings and Industrial Design, Nanjing Forestry University, No.159 Longpan Road, Nanjing, 210037, Jiangsu, China.
The widespread use of mobile applications (apps) offers a new platform for sustaining traditional culture, yet insufficient focus on interface design has hindered user experience. This paper focuses on traditional Chinese medicine (TCM) apps, examining user preferences for interface design elements and their combinations across four dimensions: visual effects, functional attributes, layout, and interaction modes. Utilizing Conjoint Analysis Method (CAM), this study quantitatively explores user preferences for the combination schemes of 18 orthogonal designs.
View Article and Find Full Text PDFIn unsupervised transfer learning for medical image segmentation, where existing algorithms face the challenge of error propagation due to inaccessible source domain data. In response to this scenario, source-free domain transfer algorithm with reduced style sensitivity (SFDT-RSS) is designed. SFDT-RSS initially pre-trains the source domain model by using the generalization strategy and subsequently adapts the pre-trained model to target domain without accessing source data.
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Mathematics, Universität Innsbruck, Technikerstraße 13, A-6020 Innsbruck, Austria.
Medical image processing has been highlighted as an area where deep-learning-based models have the greatest potential. However, in the medical field, in particular, problems of data availability and privacy are hampering research progress and, thus, rapid implementation in clinical routine. The generation of synthetic data not only ensures privacy but also allows the drawing of new patients with specific characteristics, enabling the development of data-driven models on a much larger scale.
View Article and Find Full Text PDFCurr Pharm Teach Learn
December 2024
Sunrais Health, 2909 Loma Vista Rd, Ventura, CA 93003, United States of America.
Despite representing over 20 % of pharmacy students, Asian and Pacific Islander (API) remain underrepresented in leadership positions in the United States. This article examines barriers API pharmacy students face in pursuing leadership roles and offers strategies to navigate these challenges. Stereotypical assumptions that API students are "quiet and passive" may hinder their advancement to leadership and create a bamboo ceiling that limits their progress.
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