Cervical cell classification using Deep Learning Techniques
R.S. Remya, Kumudha Raimond · 2023
Cervical cancer is a very common disease in women. Early detection and accurate diagnosis can save lives. Pap smear or pap test is the widely used technique for the early detection of cervical cancer. Manual analysis is time consuming process that relies on expert cytologist. Hence it is better to develop a computer aided system for the diagnosis. Depending on the level of abnormalities, the cells in papsmear cluster slides vary in colour, size, and morphology. Various machine learning and deep learning techniques are developed for the segmentation and classification of the pap smear image. In this paper five different deep learning networks Vgg-16,vgg-19,Resnet-50 and ResNet- 101 and Efficient Net v3 are compared on the SIPAKMED dataset. The architectures were also evaluated on the Herlev benchmark dataset.