Abstract:
Cervical cancer is a very familiar disease all over the world. It is the tacit slayer. For this
many women lose their life. Early detection of cancer cells can save many lives. To do this
we have collected some cervical cancer pap-smear test image data. After preprocessing
and labeling these data we applied a deep learning model called yolov5. The model has
four versions, from these we have applied three versions. All of the model's variations
performed admirably. We are the first authors who are working to detect cervical cancer
cells by applying the yolov5 model, and we were able to detect cervical cancer cells with
a pap-smear test data set both from image and video data. The model can effectively
detect cervical cancer photos, according to the findings of the experiments. In the medical
field, our study will be quite useful. It can be a good option for radiologists and help them
make the best selections possible.
