Automated Vehicle Counting from Pre-Recorded Video Using You Only Look Once (YOLO) Object Detection Model.

Different techniques are being applied for automated vehicle counting from video footage, which is a significant subject of interest to many researchers. In this context, the You Only Look Once (YOLO) object detection model, which has been developed recently, has emerged as a promising tool. In terms of accuracy and flexible interval counting, the adequacy of existing research on employing the model for vehicle counting from video footage is unlikely sufficient. The present study endeavors to develop computer algorithms for automated traffic counting from pre-recorded videos using the YOLO model with flexible interval counting. The study involves the development of algorithms aimed at detecting, tracking, and counting vehicles from pre-recorded videos. The YOLO model was applied in TensorFlow API with the assistance of OpenCV. The developed algorithms implement the YOLO model for counting vehicles in two-way directions in an efficient way. The accuracy of the automated counting was evaluated compared to the manual counts, and was found to be about 90 percent. The accuracy comparison also shows that the error of automated counting consistently occurs due to undercounting from unsuitable videos. In addition, a benefit-cost (B/C) analysis shows that implementing the automated counting method returns 1.76 times the investment.

Laparoscopic ureteral reimplant for distal ureteral strictures.

BACKGROUND AND OBJECTIVES: The incidence of ureteral injuries is on the rise. Endoscopic treatment of long distal ureteral strictures is associated with poor success rates, and open ureteral reimplantation is a potentially morbid surgical procedure. The objective of this study was to review our early results with laparoscopic ureteral reimplantation. METHODS: Between May 2004 and February 2007, 6 patients with ureteral strictures secondary to either gynecological surgery (4) or urolithiasis (2) presented for treatment. These patients failed traditional conservative treatment and underwent laparoscopic ureteral reimplantation. RESULTS: Five of the 6 cases were performed completely laparoscopically, while one patient had an elective open conversion to complete the vesicoureteral anastomosis. No major intraoperative or postoperative complications were encountered. The mean operating room time was 277 minutes (range, 180 to 360). The average hospital stay was 2.7 days (range, 2 to 5). All patients had a successful outcome defined as no evidence of radiographic obstruction and no clinical complaints of persistent renal colic. Mean follow-up was 13.2 months (range, 2 to 33). CONCLUSION: Our early results demonstrate that laparoscopic ureteral reimplantation is an effective minimally invasive treatment option for distal ureteral strictures.

MR imaging evaluation of the pelvic floor for the assessment of vaginal prolapse and urinary incontinence.

Pelvic MR imaging using the combination of motion-insensitive T2-weighted single-shot fast spin echo and high soft tissue resolution standard T2-weighted fast spin echo techniques has helped to identify soft tissue abnormalities that directly correlate with the clinical and intraoperative findings related to pelvic floor prolapse. In particular, the authors have shown that pelvic MR imaging has the ability to identify changes related to uterosacral ligament disruption and to document the corrective changes after surgical repair of this ligament. In the future, pelvic MR imaging is expected to play a progressively larger role in preoperative planning for complex or uncertain cases and for more detailed evaluation of repair in cases that do not show good symptomatic response. Pelvic MR imaging should also help to document and advance knowledge of surgical repair methodology.