Breast cancer segmentation methods: current status and future potentials
Early breast cancer detection is one of the most important issues that need to be addressed
worldwide as it can help increase the survival rate of patients. Mammograms have been …
worldwide as it can help increase the survival rate of patients. Mammograms have been …
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 …
[HTML][HTML] Convolution neural network for breast cancer detection and classification using deep learning
Objective: Early detection and precise diagnosis of breast cancer (BC) plays an essential
part in enhancing the diagnosis and improving the breast cancer survival rate of patients …
part in enhancing the diagnosis and improving the breast cancer survival rate of patients …
SVM and SVM ensembles in breast cancer prediction
MW Huang, CW Chen, WC Lin, SW Ke, CF Tsai - PloS one, 2017 - journals.plos.org
Breast cancer is an all too common disease in women, making how to effectively predict it an
active research problem. A number of statistical and machine learning techniques have …
active research problem. A number of statistical and machine learning techniques have …
A new nested ensemble technique for automated diagnosis of breast cancer
Nowadays, breast cancer is reported as one of most common cancers amongst women.
Early detection of this cancer is an essential to aid in informing subsequent treatments. This …
Early detection of this cancer is an essential to aid in informing subsequent treatments. This …
Comparative analysis of machine learning techniques for temperature compensation in microwave sensors
N Kazemi, M Abdolrazzaghi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The planar nature of microwave sensors leaves them vulnerable to ambient temperature
changes with potential impact on the perception of the material under test. A temperature …
changes with potential impact on the perception of the material under test. A temperature …
Breast cancer prediction using varying parameters of machine learning models
Malignancy of tumor has caused major number of deaths among women. Machine learning
tools with proper hyper parametric can help in identifying tumors efficiently. This paper …
tools with proper hyper parametric can help in identifying tumors efficiently. This paper …
Machine learning models in breast cancer survival prediction
M Montazeri, M Montazeri, M Montazeri… - … and Health Care, 2016 - content.iospress.com
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate
among women. With the early diagnosis of breast cancer survival will increase from 56% to …
among women. With the early diagnosis of breast cancer survival will increase from 56% to …
[PDF][PDF] Evaluating the performance of machine learning techniques in the classification of Wisconsin Breast Cancer
OI Obaid, MA Mohammed… - … of Engineering & …, 2018 - downloadmaghaleh.com
Breast cancer is a considerable problem among the women and causes death around the
world. This disease can be detected by distinguishing malignant and benign tumors. Hence …
world. This disease can be detected by distinguishing malignant and benign tumors. Hence …
[HTML][HTML] Prediction of survival and metastasis in breast cancer patients using machine learning classifiers
Background Breast cancer (BC) is one of the most common malignancies in women. Early
diagnosis of BC and metastasis among the patients based on an accurate system can …
diagnosis of BC and metastasis among the patients based on an accurate system can …