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Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model.
Sci Rep
January 2025
Colloid Chemistry, Department of Chemistry, University of Konstanz, Universitaetsstrasse 10, 78464, Konstanz, Germany.
Complex structures can be understood as compositions of smaller, more basic elements. The characterization of these structures requires an analysis of their constituents and their spatial configuration. Examples can be found in systems as diverse as galaxies, alloys, living tissues, cells, and even nanoparticles.
View Article and Find Full Text PDFThe effects of referential continuity on novel word learning in bilingual and monolingual preschoolers.
J Exp Child Psychol
January 2025
Concordia University, Montreal, Quebec H4B 1R6, Canada; Centre for Research on Brain, Language and Music, Faculty of Medicine, McGill University, Montreal, Quebec H3G 2A8, Canada.
Previous research suggests that monolingual children learn words more readily in contexts with referential continuity (i.e., repeated labeling of the same referent) than in contexts with referential discontinuity (i.
View Article and Find Full Text PDFAdvancing a Vision Foundation Model for Ming-Style Furniture Image Segmentation: A New Dataset and Method.
Sensors (Basel)
December 2024
School of Software Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Article Synopsis
- This paper addresses the challenge of accurately segmenting images of Ming-style furniture, aiming to enhance preservation and analysis of this cultural heritage.
- It introduces two innovations: the Material Attribute Prompter (MAP) for automatic prompt generation based on material properties, and the Structure Refinement Module (SRM) to improve segmentation accuracy through feature combination.
- The proposed method, validated with the MF2K dataset consisting of 2073 annotated images, shows significant improvement in segmentation performance compared to existing models, highlighting the effectiveness and efficiency of the MAP and SRM.
Rectus Femoris Muscle Segmentation on Ultrasound Images of Older Adults Using Automatic Segment Anything Model, nnU-Net and U-Net-A Prospective Study of Hong Kong Community Cohort.
Bioengineering (Basel)
December 2024
Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Sarcopenia is characterized by a degeneration of muscle mass and strength that incurs impaired mobility, posing grievous impacts on the quality of life and well-being of older adults worldwide. In 2018, a new international consensus was formulated to incorporate ultrasound imaging of the rectus femoris (RF) muscle for early sarcopenia assessment. Nonetheless, current clinical RF muscle identification and delineation procedures are manual, subjective, inaccurate, and challenging.
View Article and Find Full Text PDFAn Iterative Pseudo Label Generation framework for semi-supervised hyperspectral image classification using the Segment Anything Model.
Front Plant Sci
December 2024
School of Astronautics, Beihang University, Beijing, China.
Hyperspectral image classification in remote sensing often encounters challenges due to limited annotated data. Semi-supervised learning methods present a promising solution. However, their performance is heavily influenced by the quality of pseudo labels.
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