Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
A comprehensive review on breast cancer detection, classification and segmentation using deep learning
The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
[PDF][PDF] Adaptive dynamic dipper throated optimization for feature selection in medical data
The rapid population growth results in a crucial problem in the early detection of diseases in
medical research. Among all the cancers unveiled, breast cancer is considered the second …
medical research. Among all the cancers unveiled, breast cancer is considered the second …
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
EH Houssein, MM Emam, AA Ali - Expert Systems with Applications, 2021 - Elsevier
Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …
the body parts that indicate an abnormal change in temperature. Various segmentation …
[HTML][HTML] CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images
CB Gonçalves, JR Souza, H Fernandes - Computers in Biology and …, 2022 - Elsevier
The early detection of breast cancer is a vital factor when it comes to improving cure and
recovery rates in patients. Among such early detection factors, one finds thermography, an …
recovery rates in patients. Among such early detection factors, one finds thermography, an …
Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method
Breast cancer is one of the most common reasons for the premature death of women
worldwide. However, early detection and diagnosis of the same can save many lives …
worldwide. However, early detection and diagnosis of the same can save many lives …
A CNN-based methodology for breast cancer diagnosis using thermal images
J Zuluaga-Gomez, Z Al Masry… - Computer Methods in …, 2021 - Taylor & Francis
ABSTRACT A recent study from GLOBOCAN disclosed that during 2018 two million women
worldwide had been diagnosed with breast cancer. Currently, mammography, magnetic …
worldwide had been diagnosed with breast cancer. Currently, mammography, magnetic …
Role of image thermography in early breast cancer detection-Past, present and future
One of the most prevalent cancers among women is the breast cancer. Accurate diagnosis
of breast cancer at an early stage can reduce the mortality associated with this disease …
of breast cancer at an early stage can reduce the mortality associated with this disease …
Breast cancer diagnosis using optimized deep convolutional neural network based on transfer learning technique and improved Coati optimization algorithm
MM Emam, EH Houssein, NA Samee… - Expert Systems with …, 2024 - Elsevier
Breast cancer is a significant health concern due to its aggressive nature and high mortality
rates. Early detection is crucial to improving patient outcomes. Thermography, a non …
rates. Early detection is crucial to improving patient outcomes. Thermography, a non …
[HTML][HTML] Multi-input convolutional neural network for breast cancer detection using thermal images and clinical data
Background and objective Breast cancer is the most common cancer in women. While
mammography is the most widely used screening technique for the early detection of this …
mammography is the most widely used screening technique for the early detection of this …