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 …

[HTML][HTML] Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion

K Jabeen, MA Khan, M Alhaisoni, U Tariq, YD Zhang… - Sensors, 2022 - mdpi.com
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …

[HTML][HTML] Pneumonia detection in chest X-ray images using an ensemble of deep learning models

R Kundu, R Das, ZW Geem, GT Han, R Sarkar - PloS one, 2021 - journals.plos.org
Pneumonia is a respiratory infection caused by bacteria or viruses; it affects many
individuals, especially in developing and underdeveloped nations, where high levels of …

[HTML][HTML] A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images

CC Ukwuoma, Z Qin, MBB Heyat, F Akhtar… - Journal of Advanced …, 2023 - Elsevier
Introduction Pneumonia is a microorganism infection that causes chronic inflammation of the
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …

[HTML][HTML] TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages

S Maqsood, R Damaševičius, R Maskeliūnas - Applied Sciences, 2022 - mdpi.com
Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …

[HTML][HTML] Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm

AA Alhussan, MM Eid, SK Towfek, DS Khafaga - Biomimetics, 2023 - mdpi.com
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …

[HTML][HTML] Marine predators algorithm: A comprehensive review

S Mugemanyi, Z Qu, FX Rugema, Y Dong… - Machine Learning with …, 2023 - Elsevier
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …

[HTML][HTML] Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks

RO Ogundokun, S Misra, M Douglas, R Damaševičius… - Future Internet, 2022 - mdpi.com
In today's healthcare setting, the accurate and timely diagnosis of breast cancer is critical for
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …

[HTML][HTML] Breast cancer detection using mammogram images with improved multi-fractal dimension approach and feature fusion

DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Sciences, 2021 - mdpi.com
Breast cancer detection using mammogram images at an early stage is an important step in
disease diagnostics. We propose a new method for the classification of benign or malignant …

[HTML][HTML] Deep learning model for fully automated breast cancer detection system from thermograms

EA Mohamed, EA Rashed, T Gaber, O Karam - PloS one, 2022 - journals.plos.org
Breast cancer is one of the most common diseases among women worldwide. It is
considered one of the leading causes of death among women. Therefore, early detection is …