Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

Cervical Cancer (CC) is a rapidly growing disease among women throughout the world, especially in developed and developing countries. For this many have died. Fortunately, it curable if can be diagnosed detected at an early stage taken proper treatment. But high cost, awareness, highly equipped diagnosis environment, availability of screening tests major barrier to participating or clinical test diagnoses detect CC stage. To solve issue, study focuses on building deep learning-based automated system diagnose using cervix cell images. The designed YOLOv5 (You Only Look Once Version 5) model, which learning method. build cervical cancer pap-smear image datasets were collected from open-source repository these labeled preprocessed. Then models applied dataset train model. Four versions model find best fit for All model’s variations performed admirably. effectively cancerous cell, according findings experiments. In medical field, our will quite useful. It good option radiologists help them make selections possible.