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A hybrid attention multi-scale fusion network for real-time semantic segmentation.
Sci Rep
January 2025
School of Computer and Control Engineering, Qiqihar University, Qiqihar, 161003, China.
Article Synopsis
- Most existing semantic segmentation algorithms prioritize semantic information over spatial details, which compromises accuracy despite improving real-time speed.
- The paper introduces two innovative modules: HFRM, which combines channel and spatial attention to recover lost spatial information, and HFFM, designed to fuse features at different levels and capture a larger receptive field effectively.
- Experimental results show that the proposed method achieves a mean Intersection over Union (mIoU) of 73.6% on the Cityscapes dataset at 176 FPS, highlighting faster inference without sacrificing accuracy, showcasing its practical use.
Development of Machine Learning Copilot to Assist Novices in Learning Flexible Laryngoscopy.
Laryngoscope
March 2025
Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Objectives: Here we describe the development and pilot testing of the first artificial intelligence (AI) software "copilot" to help train novices to competently perform flexible fiberoptic laryngoscopy (FFL) on a mannikin and improve their uptake of FFL skills.
Methods: Supervised machine learning was used to develop an image classifier model, dubbed the "anatomical region classifier," responsible for predicting the location of camera in the upper aerodigestive tract and an object detection model, dubbed the "anatomical structure detector," responsible for locating and identifying key anatomical structures in images. Training data were collected by performing FFL on an AirSim Combo Bronchi X mannikin (United Kingdom, TruCorp Ltd) using an Ambu aScope 4 RhinoLaryngo Slim connected to an Ambu® aView™ 2 Advance Displaying Unit (Ballerup, Ambu A/S).
Effect of frame rate on image quality in cardiology evaluated using an indirect conversion dynamic flat-panel detector.
Radiol Phys Technol
December 2024
Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata-shi, Niigata, 951-8518, Japan.
To verify the effect of the frame rate on image quality in cardiology, we used an indirect conversion dynamic flat-panel detector (FPD). We quantified the input-output characteristics, and determined the modulation transfer function (MTF) and normalized noise power spectrum (NNPS) of the equipment used in cardiology at 7.5, 10, 15, and 30 frames per second (fps).
View Article and Find Full Text PDFComparison of Physicians' Attitudes and Practice Regarding Vaccination during Pregnancy in Turkey.
Vaccines (Basel)
July 2024
Department of Internal Medicine, Health Science University, Ankara City Hospital, 06800 Ankara, Turkey.
Article Synopsis
- This study assessed the knowledge, attitudes, and behaviors of family physicians, pediatricians, and obstetricians/gynecologists in Turkey regarding vaccines during pregnancy.
- Results showed that while a high percentage of physicians recommended the Td vaccine, many felt they lacked sufficient information about vaccination practices.
- Ultimately, the study highlighted the need for improved physician education on maternal vaccinations and suggested including specific vaccines in the standard immunization schedule for newborns in Turkey.
Plastic Surgery or Facial Plastic Surgery: Can the Public Tell the Difference?
Plast Reconstr Surg Glob Open
March 2024
Department of Plastic Surgery, University of California Irvine, Orange, Calif.
Background: Social media and online advertising are increasingly used by plastic surgeons (PSs) to educate patients and obtain referrals, but it remains unclear whether the general public can distinguish the difference in training and accreditation among medical professionals advertising online. Our study elucidates the public's expectations regarding the distinction between plastic surgery and facial plastic surgery.
Methods: A survey was distributed via MTurk, an Amazon surveying service, to collect information about demographics and assumptions that would be made solely based on the terminology "facial PS" (FPS) and "PS.
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