Figure 2.

Representative YOLOv3 cervix detection results show removal of extraneous content from vaginal walls and speculum. YOLOv3 is used for automated cervix detection after training on images with a hand-drawn bounding box surrounding the cervix area. After automatic bounding box detection, the cervix is cropped and reshaped for entry into the classification network. Automated detection is necessary for the removal of extraneous content from vaginal walls (a–c) and the speculum pointed out with the black arrows (d–f). Both representative images are diagnosed as high-grade precancer and were captured from a Pap+ screened population.