Distillation of Multi-Class Cervical Lesion Cell Detection via Synthesis-Aided Pre-Training and Patch-Level Feature Alignment

Distillation of Multi-Class Cervical Lesion Cell Detection via Synthesis-Aided Pre-Training and Patch-Level Feature Alignment

Information Science, Artificial Intelligence, Medicine, Obstetrics and Gynecology,
Cervical lesion cell detection   Knowledge distillation   Image synthesis   Computer-aided diagnosis  

Distillation of Multi-Class Cervical Lesion Cell Detection via Synthesis-Aided Pre-Training and Patch-Level Feature Alignment Background and Research Significance Cervical cancer is a disease that seriously threatens the life and health of women. According to data from the International Agency for Research on Cancer (IARC), there were approximately...