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Optimized assessment of physical rehabilitation exercises using spatiotemporal, sequential graph-convolutional networks.
Comput Biol Med
January 2025
IMT Atlantique, Lab-STICC, UMR CNRS 6285, team RAMBO, F-29238 Brest, France.
Rehabilitation is the process of helping people regain or improve lost or impaired function due to injury, illness, or disease. To assist in tracking the progress of patients undergoing rehabilitation, this paper proposes a lightweight graph-based deep-learning model for the automatic assessment of physical rehabilitation exercises. The model takes as input the 3D skeleton sequence of a patient performing a movement and outputs a continuous quality score, as a means for patient supervision that could complement or even substitute the need for ordinary clinical exams.
View Article and Find Full Text PDFA qualitative study to understand the facilitators of and barriers to retention in care to the national PMTCT Option B+ programme in Uganda.
PLoS One
January 2025
Monitoring and Evaluation Technical Support, Makerere University School of Public Health, Kampala, Uganda.
Introduction: Effective prevention of mother to child transmission (PMTCT) programmes require women and their infants to have access to a cascade of HIV care and treatment interventions. Retention in care reduces the risk of vertical transmission and opportunistic infections among mothers living with HIV. Uganda has made great strides in ensuring the success of the prevention of mother to child transmission program.
View Article and Find Full Text PDFEnd-to-End Multi-Scale Adaptive Remote Sensing Image Dehazing Network.
Sensors (Basel)
January 2025
School of Computer Science, Northeast Electric Power University, Jilin 132012, China.
Satellites frequently encounter atmospheric haze during imaging, leading to the loss of detailed information in remote sensing images and significantly compromising image quality. This detailed information is crucial for applications such as Earth observation and environmental monitoring. In response to the above issues, this paper proposes an end-to-end multi-scale adaptive feature extraction method for remote sensing image dehazing (MSD-Net).
View Article and Find Full Text PDFDietary breadth in kangaroos facilitated resilience to Quaternary climatic variations.
Science
January 2025
College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.
Identifying what drove the late Pleistocene megafaunal extinctions on the continents remains one of the most contested topics in historical science. This is especially so in Australia, which lost 90% of its large species by 40,000 years ago, more than half of them kangaroos. Determining causation has been obstructed by a poor understanding of their ecology.
View Article and Find Full Text PDFA mutual inclusion mechanism for precise boundary segmentation in medical images.
Front Bioeng Biotechnol
December 2024
School of Information Engineering, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Introduction: Accurate image segmentation is crucial in medical imaging for quantifying diseases, assessing prognosis, and evaluating treatment outcomes. However, existing methods often fall short in integrating global and local features in a meaningful way, failing to give sufficient attention to abnormal regions and boundary details in medical images. These limitations hinder the effectiveness of segmentation techniques in clinical settings.
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