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Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review
Background and objective During the recent global urgency, scientists, clinicians, and
healthcare experts around the globe keep on searching for a new technology to support in …
healthcare experts around the globe keep on searching for a new technology to support in …
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
EH Houssein, MM Emam, AA Ali… - Expert Systems with …, 2021 - Elsevier
Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …
can help decrease breast cancer mortality rates. Computer-aided detection allows …
An enhanced Predictive heterogeneous ensemble model for breast cancer prediction
Breast Cancer is one of the most prevalent tumors after lung cancer and is common in both
women and men. This disease is mostly asymptomatic in the early stages thus detection is …
women and men. This disease is mostly asymptomatic in the early stages thus detection is …
[HTML][HTML] Comparative analysis of breast cancer detection using machine learning and biosensors
Breast cancer is a widely occurring cancer in women worldwide and is related to high
mortality. The objective of this review was to present several approaches to investigate the …
mortality. The objective of this review was to present several approaches to investigate the …
Prediction of breast cancer, comparative review of machine learning techniques, and their analysis
Breast cancer is type of tumor that occurs in the tissues of the breast. It is most common type
of cancer found in women around the world and it is among the leading causes of deaths in …
of cancer found in women around the world and it is among the leading causes of deaths in …
[HTML][HTML] The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification
Breast cancer is one of the most common causes of death among women, and early
diagnosis is vital for reducing the fatality rate. This study evaluates the most widely used …
diagnosis is vital for reducing the fatality rate. This study evaluates the most widely used …
Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic
The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …
[HTML][HTML] A linear discriminant analysis and classification model for breast cancer diagnosis
Although most cases are identified at a late stage, breast cancer is the most public
malignancy amongst women globally. However, mammography for the analysis of breast …
malignancy amongst women globally. However, mammography for the analysis of breast …
[HTML][HTML] An efficient segmentation and classification system in medical images using intuitionist possibilistic fuzzy C-mean clustering and fuzzy SVM algorithm
The herpesvirus, polyomavirus, papillomavirus, and retrovirus families are associated with
breast cancer. More effort is needed to assess the role of these viruses in the detection and …
breast cancer. More effort is needed to assess the role of these viruses in the detection and …
A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment
JS Wekesa, M Kimwele - Frontiers in genetics, 2023 - frontiersin.org
Accurate diagnosis is the key to providing prompt and explicit treatment and disease
management. The recognized biological method for the molecular diagnosis of infectious …
management. The recognized biological method for the molecular diagnosis of infectious …