Systematic review of computing approaches for breast cancer detection based computer aided diagnosis using mammogram images
DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Artificial …, 2021 - Taylor & Francis
Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
Improved threshold based and trainable fully automated segmentation for breast cancer boundary and pectoral muscle in mammogram images
Segmentation of the breast region and pectoral muscle are fundamental subsequent steps
in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region …
in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region …
Deep feature–based automatic classification of mammograms
Breast cancer has the second highest frequency of death rate among women worldwide.
Early-stage prevention becomes complex due to reasons unknown. However, some typical …
Early-stage prevention becomes complex due to reasons unknown. However, some typical …
Intelligent diagnosis and classification of keratitis
A corneal ulcer is an open sore that forms on the cornea; it is usually caused by an infection
or injury and can result in ocular morbidity. Early detection and discrimination between …
or injury and can result in ocular morbidity. Early detection and discrimination between …
New convolutional neural network model for screening and diagnosis of mammograms
C Zhang, J Zhao, J Niu, D Li - PLoS One, 2020 - journals.plos.org
Breast cancer is the most common cancer in women and poses a great threat to women's life
and health. Mammography is an effective method for the diagnosis of breast cancer, but the …
and health. Mammography is an effective method for the diagnosis of breast cancer, but the …
Two-way threshold-based intelligent water drops feature selection algorithm for accurate detection of breast cancer
Breast cancer is one of the common reasons for deaths of women over the globe. It has
been found that a Computer-Aided Diagnosis (CAD) system can be designed using X-ray …
been found that a Computer-Aided Diagnosis (CAD) system can be designed using X-ray …
Automated diagnosis of breast cancer using parameter optimized kernel extreme learning machine
Early detection and diagnosis is one of the primary steps towards an effective treatment of
breast cancer. An automated and reliable computer-aided diagnosis (CAD) model is a …
breast cancer. An automated and reliable computer-aided diagnosis (CAD) model is a …
Detection of breast cancer through mammogram using wavelet-based LBP features and IWD feature selection technique
Breast cancer is as one of the common reasons of deaths in women. To detect this cancer in
early stage, a computer-aided diagnosis (CAD) system can be designed using X-ray …
early stage, a computer-aided diagnosis (CAD) system can be designed using X-ray …
A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features
R Karthiga, K Narasimhan, R Chinthaginjala… - Multimedia Tools and …, 2024 - Springer
A drastic rise in the incidence of breast cancer in patients is witnessed as per the new
roadmap launched by the World Health Organization in 2023. Premature breast cancer …
roadmap launched by the World Health Organization in 2023. Premature breast cancer …
Deep‐features with Bayesian optimized classifiers for the breast cancer diagnosis
SR Sannasi Chakravarthy… - International Journal of …, 2021 - Wiley Online Library
To improve the state‐of‐the‐art works in breast cancer diagnosis, this paper proposes
ensemble‐based deep‐transfer learning with classifiers namely optimizable K‐nearest …
ensemble‐based deep‐transfer learning with classifiers namely optimizable K‐nearest …