scholarly journals A Hierarchical Feature-Based Methodology to Perform Cervical Cancer Classification

2021 ◽  
Vol 11 (9) ◽  
pp. 4091
Author(s):  
Débora N. Diniz ◽  
Mariana T. Rezende ◽  
Andrea G. C. Bianchi ◽  
Claudia M. Carneiro ◽  
Daniela M. Ushizima ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Pap Smear ◽  
Hierarchical Classification ◽  
Cell Nuclei ◽  
Test Analysis ◽  
Pap Smear Test ◽  
Microscopy Image ◽  
Feature Based ◽  
Cervical Cells ◽  
Number Of Classes

Prevention of cervical cancer could be performed using Pap smear image analysis. This test screens pre-neoplastic changes in the cervical epithelial cells; accurate screening can reduce deaths caused by the disease. Pap smear test analysis is exhaustive and repetitive work performed visually by a cytopathologist. This article proposes a workload-reducing algorithm for cervical cancer detection based on analysis of cell nuclei features within Pap smear images. We investigate eight traditional machine learning methods to perform a hierarchical classification. We propose a hierarchical classification methodology for computer-aided screening of cell lesions, which can recommend fields of view from the microscopy image based on the nuclei detection of cervical cells. We evaluate the performance of several algorithms against the Herlev and CRIC databases, using a varying number of classes during image classification. Results indicate that the hierarchical classification performed best when using Random Forest as the key classifier, particularly when compared with decision trees, k-NN, and the Ridge methods.

scholarly journals Factors associated with the intention to undergo Pap smear testing in the rural areas of Indonesia: a health belief model

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Sumarmi Sumarmi ◽  
Yu-Yun Hsu ◽  
Ya-Min Cheng ◽  
Shu-Hsin Lee
Keyword(s):  
Cervical Cancer ◽  
Health Beliefs ◽  
Rural Women ◽  
Rural Areas ◽  
Pap Smear ◽  
Statistical Significance ◽  
Health Belief ◽  
Pap Smear Test ◽  
Smear Test ◽  
Smear Testing

Abstract Purposes This study aimed to understand the influence of health beliefs, demographic factors, and health characteristics on the intention to undergo Pap smear testing among women in rural areas of Indonesia. Methods A descriptive cross-sectional study was conducted and 687 married women participated in the study. A convenience sampling was applied to recruit the participants from community health centres in a rural region in Indonesia. Self-reported data using the Health Beliefs Model Scale for Cervical Cancer and Pap Smear Test was collected to assess the health beliefs. Independent t-tests, simple logistic regressions, and a hierarchical logistic regression with 3 steps were run. Statistical significance for analysis was set at p < 0.05. Results The mean age of the participants was 42 years (SD = 8.4). Among the participants, 81% of the women had never undergone a Pap smear test, and 61% (n = 422) of the women reported a high intention of receiving a Pap smear test. Income and education Health beliefs regarding Pap smear testing were different between women who had low and high intentions to undergo Pap smear testing. Health beliefs, such as perceived benefits, severity, barriers to Pap smear testing, and health motivation for a Pap smear test were associated with the intention to undergo Pap smear testing among rural Indonesian women. Overall, the hierarchical multiple regression with 3 steps containing demographic, health characteristics, and health belief variables accounted for 31% variance of the intention to undergo Pap smear test among the Indonesian rural women. Conclusions Low screening rates of cervical cancer and high intentions to do the screening exist among rural Indonesian women. Health beliefs significantly affect the rural women’s intention of Pap smear testing in Indonesia.

The Pap smear test value in dysplasia and cervical cancer diagnosis

2021 ◽  
Vol 1 (69) ◽  
pp. 6
Author(s):  
Gheorghe Cruciat ◽  
Iulia Popa ◽  
Suzana Mariam Chaikh-Sulaiman
Keyword(s):  
Cervical Cancer ◽  
Cancer Diagnosis ◽  
Pap Smear ◽  
Pap Smear Test ◽  
Smear Test

Automated Cell Nuclei Segmentation on Cervical Smear Images Using Structure Analysis

2021 ◽  
Vol 51 ◽  
pp. 105-115
Author(s):  
Wan Azani Mustafa ◽  
Low Zhe Wei ◽  
Khairul Shakir Ab Rahman
Keyword(s):  
Cervical Cancer ◽  
Pap Smear ◽  
Standard Technique ◽  
Successful Implementation ◽  
Cell Nuclei ◽  
Structural Element ◽  
Detection Techniques ◽  
Nuclei Segmentation ◽  
Common Cancer ◽  
Early Century

Cervical cancer is a common cancer that affects women around the world, and it is also the most common cancer in the developing countries. The cancer burden has increased due to several factors, such as population growth and ageing. In the early century, the systematization of cervical cancer cells takes some time to process manually, and the result that comes out is also inaccurate. This article presents a new nucleus segmentation on pap smear cell images based on structured analysis or morphological approach. Morphology is a broad set of image processing operations that process images based on shape, size and structure. This operation applies a structural element of the image to create an output image of the same size. The most basic of these operations are dilation and erosion. The results of the numerical analysis indicate that the proposed method achieved about 94.38% (sensitivity), 82.56% (specificity) and 93% (accuracy). Also, the resulting performance was compared to a few existing techniques such as Bradley Method, Nick Method and Sauvola Method. The results presented here may facilitate improvements in the detection method of the pap smear cell image to resolve the time-consuming issue and support better system performance to prevent low precision result of the Human Papilloma Virus (HPV) stages. The main impact of this paper is will help the doctor to identify the patient disease based on Pap smear analysis such as cervical cancer and increase the percentages of accuracy compared to the conventional method. Successful implementation of the nucleus detection techniques on Pap smear image can become a standard technique for the diagnosis of various microbiological infections such as Malaria and Tuberculosis.

scholarly journals The Correlation between Characteristics, Knowledge and Motivation of Couples in Childbearing Age with the Early Detection of Cervical Cancer in Ulin General Hospital Banjarmasin

2020 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Anggrita Sari ◽  
Ika Mardiatul Ulfa ◽  
Dewi Pusparani Sinambela
Keyword(s):  
Cervical Cancer ◽  
Early Detection ◽  
General Hospital ◽  
Pap Smear ◽  
Rank Correlation ◽  
Childbearing Age ◽  
Cross Sectional ◽  
Pap Smear Test ◽  
Education And Employment ◽  
Spearman Rank Correlation Test

Cervical cancer is a malignant tumor that grows in the cervix and often attack women. In Indonesia cervical cancer is the number one killer of all cancers. So early detection is very important. The incidence of cancer from year to year has been increasing significantly. On the contrary, the coverage of pap smear test has been decreasing. The aims are to determine the correlation of characteristics (age, education, and employment), knowledge and motivation and early detection of cervical cancer in couples of childbearing age in patients of Ulin General Hospital Banjarmasin. This type of research is analytic survey with cross sectional. The population is all couples of childbearing age who visit in obstetrics policlinic in Ulin General Hospital Banjarmasin. Sampling method was done by accidental sampling using a sample size of 30 people. Analysis using the spearman rank correlation test with 95% confidence value. Results find no correlation between age and early detection of cervical cancer (p=0,264>α=0,05), a correlation between education and early detection of cervical cancer (p=0,001<α=0,05), a correlation between employment with early detection of cervical cancer (p=0,003<α=0,05), no correlation between knowledge with the early detection of cervical cancer (p=0,425>α=0,05)), no correlation between motivation with the early detection of cervical cancer (p=0,264>α=0,05).

Computational Intelligence-Based Cell Nuclei Segmentation from Pap Smear Images

2016 ◽  
pp. 262-284
Author(s):  
Savitha Balakrishnan ◽  
Subashini Parthasarathy ◽  
Krishnaveni Marimuthu
Keyword(s):  
Image Processing ◽  
Cervical Cancer ◽  
Computational Intelligence ◽  
Pap Smear ◽  
Correct Diagnosis ◽  
Optimization Techniques ◽  
Cell Nuclei ◽  
Swarm Optimization ◽  
Nuclei Segmentation ◽  
Segmentation Problem

Automated Segmentation of cell nuclei in Pap smear images plays an important role in the cervical cancer cell analysis systems to make a correct diagnosis decision. The aim of this chapter is to detail about the variety of computational intelligence and image processing approaches developed and used for the nuclei segmentation. In additional, the threshold based segmentation problem is treated as an optimization problem with an objective of preserving both the size and volume of the cell nuclei and also to segment the nuclei region from the original microscopic Pap smear image with the help of Particle Swarm Optimization (PSO) and Ant Colony Optimization techniques (ACO). Experimental results are shown, compared in quantitative and qualitative manner as well as the main advantages and limitations of each algorithm are explained.

scholarly journals Migrating techniques, multiplying diagnoses: the contribution of Argentina and Brazil to early 'detection policy' in cervical cancer

2010 ◽  
Vol 17 (suppl 1) ◽  
pp. 33-51 ◽  
Author(s):  
Yolanda Eraso
Keyword(s):  
Cervical Cancer ◽  
Early Detection ◽  
Cancer Diagnosis ◽  
Pap Smear ◽  
Diagnostic Techniques ◽  
Diagnostic Tools ◽  
South American ◽  
Pap Smear Test ◽  
Smear Test ◽  
Medical Centers

This article on the early detection of cervical cancer focuses on the development of two leading diagnostic techniques - colposcopy and the Pap smear test - and their histories in Argentina and Brazil. It explores how diagnostic tools were transferred between Europe and the Americas, while examining the intersection of cultural and medical aspects and the processes of adaptation and resignification in the receiving countries. Colposcopy received little attention in the main Western medical centers until South American countries reasserted its significance in the 1950s. 'Peripheral' centers played a central role in early detection policies and the combined uses of these methods gave rise to a new stage of 'cumulative confidence' in cervical cancer diagnosis and screening.

scholarly journals Educational intervention on knowledge of cervical cancer and uptake of Pap smear test among market women in Niger State, Nigeria

2017 ◽  
Author(s):  
Godwin Jiya Gana ◽  
Mansur O. Oche ◽  
Jessica Timane Ango ◽  
Aminu Umar Kaoje ◽  
Kehinde Joseph Awosan ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Educational Intervention ◽  
Pap Smear ◽  
Female Genital Tract ◽  
Intervention Group ◽  
Control Group ◽  
Post Intervention ◽  
Pap Smear Test ◽  
Smear Test ◽  
Market Women

Cervical cancer is the most common female genital tract carcinoma worldwide. It is increasingly becoming the leading carcinoma seen among women in the developing world. The aim of our study was to showcase the effect of educational intervention on the knowledge of cervical cancer and subsequently the uptake of Pap smear test amongst market women in Niger state, Nigeria. The state has a rich network of markets in all the local government areas because of the fishing activities, bountiful agricultural produce yearly and its situation to the North of the national capital, Abuja. This was a quasi-experimental study conducted in two groups with pre and post intervention data collection. Sample size was determined based on a previous similar study done in Nigeria. Multi stage sampling technique was used for recruiting the study participants. SPSS statistical software was used for data entry, editing and analysis. Respondents’ knowledge of cervical cancer were comparable at pre-intervention but were statistically significantly better (P<0.0001) at post-intervention in the intervention group compared to the control group for every variable measured. However, there was only a (Fisher’s exact, P=0.621) compared to the control group. This study showed an increase in knowledge about cervical cancer and Pap smear test however the uptake of Pap smear test remained low even after intervention. This underscores the need for sustained intervention programs to eventually translate knowledge acquired to habitual practice.

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