Code available of a preprint paper Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data (refer to arXiv). Please cite it.
Plugin PolarNet using eight neighboring self-attention mechanism, for improving GC (glandular cell) detection from cytology WSI (Whole Slide Image).
It can be plugged into any modern deep learning-based object detection model. The code of PolarNet polar_net.py in this project is easiest to read about the proposed network.
The implementation of PolarNet in different detection frameworks is identical:
- SOTA double-stage:
Faster RCNN/(based on the github repo AttFaster) - SOTA one-stage:
YOLOX/(based on the github repo YOLOX) - Others:
mmdetection/(based on the github repo mmdetection)
Data is available except for images:
- COCO format annotation:
data/mmdetection - CSV format annotation:
data/YOLOX&data/Faster RCNN
Please see the corresponding README.md inside folders.