Breast cancer detection based on deep learning technique

NS Ismail, C Sovuthy - 2019 International UNIMAS STEM 12th …, 2019 - ieeexplore.ieee.org
Breast cancer is the most common cancer among Malaysian women and roughly one in 19
women at risk of breast cancer in Malaysia. The number of breast cancer cases is steadily …

Thermogram breast cancer detection: A comparative study of two machine learning techniques

F AlFayez, MWA El-Soud, T Gaber - Applied Sciences, 2020 - mdpi.com
Breast cancer is considered one of the major threats for women's health all over the world.
The World Health Organization (WHO) has reported that 1 in every 12 women could be …

An investigation of Bayes algorithm and neural networks for identifying the breast cancer

E Udayakumar, S Santhi… - Indian Journal of Medical …, 2017 - thieme-connect.com
Context: Breast cancer is a biggest threat to women. X-ray mammography is the most
effective method for early detection and screening of breast cancer. It is a tough challenge …

Enhancing bio-medical mammography image fusion using optimized genetic algorithm

PM Kumar, RP Kumar - Journal of Medical Imaging and Health …, 2019 - ingentaconnect.com
Breast cancer is one of the most dangerous diseases to women which lead to create dead in
final stage. Most of the traditional techniques are fail to recognize the breast cancer in …

Detection and classification of breast cancer using CNN

R Hariharan, M Dhilsath Fathima, A Pitchai… - Advance Concepts of …, 2022 - Springer
Breast cancer has been a major type of cancer and has been responsible for countless
deaths of women in the last few years. Scientists have been trying their best to come with the …

[PDF][PDF] A COMPREHENSIVE REVIEW ON ADVANCES IN DEEP LEARNING AND MACHINE LEARNING FOR EARLY BREAST CANCER DETECTION

MD Souza, V Kumara - academia.edu
ABSTRACT" Breast cancer is a global health concern, and the incidence of breast cancer
cases is on the rise among both older and younger women. While many of the root causes …

[HTML][HTML] An Investigation of Bayes Algorithm and Neural Networks for Identifying the Breast Cancer

PS Kulkarni, K Das, N Agrawal, M Kala, R Khanduri… - ijmpo.org
Context: Breast cancer is a biggest threat to women. X-ray mammography is the most
effective method for early detection and screening of breast cancer. It is a tough challenge …

[PDF][PDF] A New Feature Extraction Approach Using Contourlet Transform and T-Test Statistics for Mammogram Classification

N Gedik - Balkan Journal of Electrical and Computer Engineering, 2020 - dergipark.org.tr
In this study, a CAD system is recommended for the classification of mammography images
as normal-abnormal and benign malignant. The proposed system consists of the feature …

[PDF][PDF] Bilateral Perona-malik Diffusion Filtering based Topological Multitude Feature Vector for Breast Cancer Detection

SV EZHILRAMAN, S SRINIVASAN, G SUSEENDRAN - researchgate.net
Feature extraction is an essential problem to be solved in medical image analysis as it
extracts distinctive features and thereby enhances the diagnosis for detecting breast cancer …

[PDF][PDF] Mamografi görüntülerinin sınıflandırılması için yeni bir özellik çıkarımı yaklaşımı

N Gedik - İleri Teknoloji Bilimleri Dergisi, 2019 - dergipark.org.tr
Bu çalışmada mamografi görüntülerininsınıflandırılması için çok çözünürlüklü analiz
yöntemiyle elde edilen özellikverisini seçerek iyileştiren bir özellik çıkarma yöntemi …