Benign and malignant breast tumors classification based on region growing and CNN segmentation
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 …
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 …
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 …
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 …
paper emphases a Computer‐Aided Detection system based on convolutional neural …
[HTML][HTML] Benign and malignant breast cancer segmentation using optimized region growing technique
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 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
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 …
methodology for classifying breast cancer using deep learning and some segmentation …
A novel approach for breast cancer detection and segmentation in a mammogram
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 …
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 …
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 …
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
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 …
million people died globally from cancer in the year 2020. Breast Cancer (BC) is a common …