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Multiple attention channels aggregated network for multimodal medical image fusion.
Med Phys
December 2024
School of Physics and Optoelectronic Engineering, Foshan University, Foshan, China.
Background: In clinical practices, doctors usually need to synthesize several single-modality medical images for diagnosis, which is a time-consuming and costly process. With this background, multimodal medical image fusion (MMIF) techniques have emerged to synthesize medical images of different modalities, providing a comprehensive and objective interpretation of the lesion.
Purpose: Although existing MMIF approaches have shown promising results, they often overlook the importance of multiscale feature diversity and attention interaction, which are essential for superior visual outcomes.
Qualitative evaluation of survey questions to assess treatment preference for daily oral or long‑acting injectable antiretroviral therapy among people living with HIV.
PLoS One
December 2024
PrismHealth North Texas, Dallas, Texas, United States of America.
Treatment of HIV has historically required taking daily oral antiretroviral therapy (ART). A recent alternative to daily oral ART is long-acting injectable ART with cabotegravir plus rilpivirine, administered monthly or every 2 months. The purpose of this qualitative study was to evaluate the concept relevance and interpretability of five previously developed questions: one treatment preference question and four questions designed to assess how the emotional burden associated with HIV treatment impacts treatment preferences.
View Article and Find Full Text PDFUltraNet: Unleashing the Power of Simplicity for Accurate Medical Image Segmentation.
Interdiscip Sci
December 2024
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China.
The imperative development of point-of-care diagnosis for accurate and rapid medical image segmentation, has become increasingly urgent in recent years. Although some pioneering work has applied complex modules to improve segmentation performance, resulting models are often heavy, which is not practical for the modern clinical setting of point-of-care diagnosis. To address these challenges, we propose UltraNet, a state-of-the-art lightweight model that achieves competitive performance in segmenting multiple parts of medical images with the lowest parameters and computational complexity.
View Article and Find Full Text PDFAntibody Design with SE(3) Diffusion.
J Comput Biol
December 2024
Exscientia, Oxford Science Park, Oxford, UK.
We introduce , an antibody variable domain diffusion model based on a general protein backbone diffusion framework, which was extended to handle multiple chains. Assessing the designability and novelty of the structures generated with our model, we find that produces highly designable antibodies that can contain novel binding regions. The backbone dihedral angles of sampled structures show good agreement with a reference antibody distribution.
View Article and Find Full Text PDFInfluence of Body Composition and Muscle Power Performance on Multiple Frequency Speed of Kick Test in Taekwondo Athletes.
Sports (Basel)
November 2024
Centro Polifunzionale di Scienze Motorie, University of Genoa, 16132 Genoa, Italy.
The Multiple Frequency Speed of Kick Test (FSKT) is used to investigate which characteristics are necessary for, contribute to, or limit the ability to repeat high-intensity intermittent efforts in taekwondo. This cross-sectional study investigated the relationship between anthropometric and body composition characteristics, muscle power performance, and sport-specific anaerobic performance. Nineteen black belt taekwondo athletes (mean ± SD age: 17.
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