Regions detection in cervical cytology to help the diagnosis of cervical cancer
J.E. Alcaraz Chavez, Adriana del Carmen Téllez-Anguiano, C.D. Campos Valdes · 2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) · 2022
Cervical cancer is an important cause of mortality in women worldwide, it is the neoplasm with the greatest potential proven secondary prevention. This disease is completely preventable and curable. Many computer vision tools are being exploited in the biomedical field to discover patterns and analyze the morphology of cervical cancer among women. The main objective of this work is to show the detection of cells in a cervical cytology because the cytological screening analysis is based on the experience of the cytotechnologist. However, in this document the Gaussian Laplacian is used for the extraction of stains within a cytological image, converts the image to binary and applies a threshold range, which generates stains with properties that remain approximately constant.