Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review

S Lalmuanawma, J Hussain, L Chhakchhuak - Chaos, Solitons & Fractals, 2020 - Elsevier
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 …

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 …

An enhanced Predictive heterogeneous ensemble model for breast cancer prediction

S Nanglia, M Ahmad, FA Khan, NZ Jhanjhi - Biomedical Signal Processing …, 2022 - Elsevier
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 …

Prediction of breast cancer, comparative review of machine learning techniques, and their analysis

N Fatima, L Liu, S Hong, H Ahmed - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic

S Balasubramanian, V Shukla, N Islam… - … Journal of Production …, 2023 - Taylor & Francis
The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …

[HTML][HTML] Comparative analysis of breast cancer detection using machine learning and biosensors

Y Amethiya, P Pipariya, S Patel, M Shah - Intelligent Medicine, 2022 - Elsevier
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 …

Multi-level thresholding segmentation for pathological images: Optimal performance design of a new modified differential evolution

L Ren, D Zhao, X Zhao, W Chen, L Li, TS Wu… - Computers in Biology …, 2022 - Elsevier
The effective analytical processing of pathological images is crucial in promoting the
development of medical diagnostics. Based on this matter, in this research, a multi-level …

An efficient segmentation and classification system in medical images using intuitionist possibilistic fuzzy C-mean clustering and fuzzy SVM algorithm

CL Chowdhary, M Mittal, KP, PA Pattanaik… - Sensors, 2020 - mdpi.com
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 …

[HTML][HTML] The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification

TR Mahesh, O Geman, M Margala, M Guduri - Healthcare Analytics, 2023 - Elsevier
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 …

COVID-19 in the age of artificial intelligence: a comprehensive review

J Rasheed, A Jamil, AA Hameed, F Al-Turjman… - Interdisciplinary …, 2021 - Springer
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China,
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …