Publications by authors named "Yuqun Chu"
A Lightweight Strip Steel Surface Defect Detection Network Based on Improved YOLOv8.
Sensors (Basel)
October 2024
Article Synopsis
- Strip steel surface defect detection is essential for maintaining quality in steel production, but existing algorithms struggle with accuracy and speed due to varying defect sizes and blurred images.
- The proposed solution, YOLO-SDS, is a lightweight network that enhances the original YOLOv8 model by implementing a new backbone (StarNet) and incorporating advanced modules for better multi-scale feature extraction and handling occluded objects.
- Experimental results indicate that YOLO-SDS reduces model parameters by 34.4% while increasing detection accuracy by 1.5%, demonstrating significant advantages in efficiency over other defect detection models.
Objective: To determine the maximum uterine diameter threshold associated with an elevated risk of complications following laparoscopic supracervical hysterectomy (LSH).
Methods: This was a retrospective cohort study from a single tertiary referral center. We enrolled patients who underwent LSH for benign indications at our hospital between January 2013 and June 2023.
Rationale: The overall pregnancy rate in individuals with an intrauterine device (IUD) for contraception is <1%. If pregnancy occurs while an IUD is in place, there is a higher risk of an ectopic pregnancy. We report the case of a woman with an IUD who was 7 weeks pregnant and experienced a spontaneous abortion 1 week later.
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