This manuscript describes a methodology to quantify the abnormalities in digital cytology images. This automatic AI-system incorporates deep learning structures, mathematical algorithms, and image processing methods to locate and segment abnormal and suspicious cells. Characterized as more informative, objective, and reproducible, it has the potential to assist clinical practice.
- Jing Ke
- Yiqing Shen
- Fusong Jiang
