Benign and malignant breast tumors classification based on region growing and CNN segmentation

R Rouhi, M Jafari, S Kasaei, P Keshavarzian - Expert Systems with …, 2015 - Elsevier
Breast cancer is regarded as one of the most frequent mortality causes among women. As
early detection of breast cancer increases the survival chance, creation of a system to …

Classification of breast cancer mammogram images using convolution neural network

U Albalawi, S Manimurugan… - Concurrency and …, 2022 - Wiley Online Library
Medical imaging systems have broadly used in the diagnosis and identification of breast
cancer. It is essential to recognize breast tumor as soon as possible. Mammography is a …

Malignant and nonmalignant classification of breast lesions in mammograms using convolutional neural networks

EMF El Houby, NIR Yassin - Biomedical Signal Processing and Control, 2021 - Elsevier
Early detection remains the backbone of breast cancer control and treatment improvement.
However, early detection is difficult since cancer symptoms are absent at onset. Hence …

Deep learning algorithm for breast masses classification in mammograms

VS Gnanasekaran, S Joypaul… - IET Image …, 2020 - Wiley Online Library
A mammogram is an image of a breast used to detect and diagnose breast cancer. This
paper emphases a Computer‐Aided Detection system based on convolutional neural …

[HTML][HTML] Benign and malignant breast cancer segmentation using optimized region growing technique

S Punitha, A Amuthan, KS Joseph - Future Computing and Informatics …, 2018 - Elsevier
Breast cancer is one of the dreadful diseases that affect women globally. The occurrences of
breast masses in the breast region are the main cause for women to develop a breast …

Breast cancer detection using deep convolutional neural networks and support vector machines

DA Ragab, M Sharkas, S Marshall, J Ren - PeerJ, 2019 - peerj.com
It is important to detect breast cancer as early as possible. In this manuscript, a new
methodology for classifying breast cancer using deep learning and some segmentation …

A novel approach for breast cancer detection and segmentation in a mammogram

AK Singh, B Gupta - Procedia Computer Science, 2015 - Elsevier
Mammography is a well-known method used for the detection of breast cancer. Many
researchers worked in the area of breast cancer detection and proposed segmentation …

Mass lesion detection with a fuzzy neural network

HD Cheng, M Cui - Pattern recognition, 2004 - Elsevier
This paper presents a novel fuzzy neural network (FNN) approach to detect malignant mass
lesions on mammograms. The FNN is a self-adjusting and adaptive system. It is simple in …

A review on image-based approaches for breast cancer detection, segmentation, and classification

Z Rezaei - Expert Systems with Applications, 2021 - Elsevier
The breast cancer as the most life-threatening disease among the woman has emerged in
the worldwide. It is supposed that the early testing and treatment for breast cancer detection …

Literature review of breast cancer detection using machine learning algorithms

BS Abunasser, MRJ AL-Hiealy, IS Zaqout… - AIP Conference …, 2023 - pubs.aip.org
Cancer is the leading cause of non-accidental deaths worldwide. Specifically, nearly 10
million people died globally from cancer in the year 2020. Breast Cancer (BC) is a common …