K. Gunaseelan

Quantitative morphometry of the cervix using deep learning and geometric area estimation techniques

Abstract Objective Estimation of the actual cervix area observed during the colposcopy is a critical step towards accurate diagnosis, as hidden areas may lead to malignancy in the future. In the present study, an automated algorithm was developed that uses a deep learning segment...