A YOLOv5 variant augmented with Swin-Transformer, GAM attention, multi-scale fusion, and EIoU loss reports 92.6% mAP@0.5 on p16/Ki-67 dual-stained cervical cytology patches, a claimed improvement over baseline YOLOv5s.
Cervical cancer screening among adult women in China, 2010 [J]
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Research on Cervical Cancer p16/Ki-67 Immunohistochemical Dual-Staining Image Recognition Algorithm Based on YOLO
A YOLOv5 variant augmented with Swin-Transformer, GAM attention, multi-scale fusion, and EIoU loss reports 92.6% mAP@0.5 on p16/Ki-67 dual-stained cervical cytology patches, a claimed improvement over baseline YOLOv5s.