Nucleus detection using bradley algorithm modification on pap smear cell image

作     者：Wan Azani Mustafa Zulhadi Arifin Ku Nurul Fazira Ku Azir Naimah Yaakob Syed Zulkarnain Syed Idrus Hiam Alquran 

作者机构：Faculty of Electrical Engineering & Technology University of Malaysia Perlis UniCITI Alam Campus Sungai Chuchuh Perlis Malaysia Advanced Computing (AdvComp) Centre of Excellence (CoE) Universiti Malaysia Perlis (UniMAP) Campus Pauh Putra 02600 Arau Perlis Malaysia Faculty of Electronic Engineering & Technology Universiti Malaysia Perlis Arau 02600 Perlis Malaysia Department of Biomedical Systems and Medical Informatics Engineering Yarmouk University Irbid Jordan 

出 版 物：《AIP Conference Proceedings》 

年 卷 期：2024年第3135卷第1期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：According to a 2010 study, cervical cancer affects women all over the world and is the fourth most common disease among women after lung, colorectal, and breast cancer. Numerous studies are being conducted to improve pre-cancer screening methods. It is challenging for doctors to collect correct data due to inconsistent and unsystematic analysis techniques. Making a determination just from eye inspection is challenging. It is probably erroneous based on the sample of microscopic images studied. This is because to the blurring, noise, shadow, lighting, and artefact issues that can damage a microscopic image. This study has modified Bradley’s binarization method in order to improvise nucleus detection on pap smear image. The modification method has performance that overcome other methods which is Bernsen, Bradley, Feng, Niblack, Nick, Otsu, Sauvola and Wolf. The analysis indicate modification method has value 75.03% on Fmeasure, 92.78% on accuracy, 13.61 on PSNR and 0.086 on NRM. This study helps the modification method inspired by Bradley shows an improvement in segmenting nucleus region.