scholarly journals Assessment of Breast Cancer Detection and Implementation

2019 ◽  
Vol 8 (11) ◽  
pp. 323-330
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Median Filter ◽  
Breast Cancer Detection ◽  
Statistical Parameters ◽  
Cause Of Deaths ◽  
Life Threatening ◽  
Mammogram Image ◽  
Mean Variance ◽  
Progressive Algorithms

Breast Cancer is the most dangerous and life threatening disease. Of all kinds of cancers, Breast cancer is the second major cause of deaths and especially the first major cause of deaths in women. In this project, images are taken from medical representativess in order to implement a real time project. This methodology aims at diagnosing Breast Cancer at an earlier stage by considering progressive algorithms. In this methodology, a mammogram image is considered. To this image sample, image segmentation technique is applied which separates fore-ground regions from the background regions. Later, Binarization technique is used to enrich the contrast of the image in order to make it more desirable for finding the tumour cell location within the affected area. Median filter is used for removing noise within the image. To the noise free images, some statistical parameters viz., mean, variance, Standard deviation, Mean Square error and entropy are calculated to analyze the performance

Breast cancer detection in mammogram image with segmentation of tumour region

2020 ◽  
Vol 12 (1) ◽  
pp. 77
Author(s):  
Vikramathithan Andiappan Chinnasamy ◽  
Dandinashivara Revanna Shashikumar
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Mammogram Image

scholarly journals Using Morphological Operation and Watershed Techniques for Breast Cancer Detection

2020 ◽  
Vol 16 (05) ◽  
pp. 140
Author(s):  
Sarah Faris Ameer ◽  
Zinah Tareq Nayyef ◽  
Zena Hussain Fahad ◽  
Ibtihal Razaq Niama ALRubee
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Cancer Detection ◽  
Median Filter ◽  
Diagnose Breast Cancer ◽  
Causes Of Mortality ◽  
Mammogram Image ◽  
Effective Diagnosis ◽  
Reliable Methods ◽  
Mammogram Images

<pre>Breast cancer is one of the leading causes of mortality between women, with one in eight women diagnosed with the disease, but early detection can reduce death rates. Therefore, continuous effort is being made to advance more effective methods for the early and effective diagnosis of breast cancer with high accuracy without human intervention. Classical attempts were manual, time- consuming and ineffective in many situations. The purpose of this work is to detect and locate the presence of malignant tissues in the breast using the morphological technique in mammogram images to diagnose breast cancer because morphology is one of the most reliable methods for early detection of breast cancer. The proposed algorithm is developed using watershed segmentation after the preprocessing is completed by the median filter to eliminate any expected noise, and contouring the tumor by morphological techniques to take the best diagnostic for breast cancer in a mammogram image. Good results are obtained for the measurements used like MSE, PSNR, SNR, entropy for the mammogram images.    </pre>

scholarly journals Role of Public Service Awareness Messages in Developing Precautionary Attitude towards Breast Cancer Detection Among Pakistani Women

2020 ◽  
Vol 20 (2) ◽  
pp. 59-78
Author(s):  
Moneeba Iftikhar ◽  
Zahid Yousaf
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Public Service ◽  
Breast Cancer Detection ◽  
Fear Appeal ◽  
The Public ◽  
Common Cancer ◽  
Life Threatening ◽  
Precautionary Measures

The study was aimed at scrutinizing the effects of the Public Service Awareness Messages about breast cancer detection among women in terms of developing precautionary measures for the life-threatening disease in order to fight against it before time. Breast Cancer is the most common cancer among the women around the world and especially in Pakistan. The study has been carried out with a survey with 300 women of Lahore, Pakistan and found that Public Service Awareness Messages have been significantly perceived by them. PSAMs are important tool for providing information and spreading awareness regarding the disease. The fear appeal of the messages changed the behavior of the viewers for taking precautionary measures. Public Service Awareness Messages regarding healthcare make people conscious about their health and they believe that precautionary measures can prevent the dreadful comings of this disease.

Sign in / Sign up

Export Citation Format

Share Document