Lightweight convolutional neural network with knowledge distillation for cervical cells classification

Cervical cancer is among the most lethal human malignancies. Women in developing countries are overwhelmingly vulnerable to the cervical cancer because of the lack of medical resources. Although artificial intelligence technologies have witnessed some great progress in healthcare and medical practices, most studies in cervical cells classification focus on improving the accuracy without considering the resource limitations. To build a compact …