A comprehensive review on breast cancer detection, classification and segmentation using deep learning

B Abhisheka, SK Biswas, B Purkayastha - Archives of Computational …, 2023 - Springer
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 …

[HTML][HTML] A study on different deep learning algorithms used in deep neural nets: MLP SOM and DBN

J Naskath, G Sivakamasundari, AAS Begum - Wireless personal …, 2023 - Springer
Deep learning is a wildly popular topic in machine learning and is structured as a series of
nonlinear layers that learns various levels of data representations. Deep learning employs …

[HTML][HTML] On the analyses of medical images using traditional machine learning techniques and convolutional neural networks

S Iqbal, A N. Qureshi, J Li, T Mahmood - Archives of Computational …, 2023 - Springer
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

[HTML][HTML] An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm

EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2022 - Springer
Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …

Boosting breast cancer detection using convolutional neural network

SA Alanazi, MM Kamruzzaman… - Journal of …, 2021 - Wiley Online Library
Breast cancer forms in breast cells and is considered as a very common type of cancer in
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …

[HTML][HTML] Intelligent hybrid deep learning model for breast cancer detection

X Wang, I Ahmad, D Javeed, SA Zaidi, FM Alotaibi… - Electronics, 2022 - mdpi.com
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …

Deep convolutional neural networks with ensemble learning and transfer learning for automated detection of gastrointestinal diseases

Q Su, F Wang, D Chen, G Chen, C Li, L Wei - Computers in Biology and …, 2022 - Elsevier
Gastrointestinal (GI) diseases are serious health threats to human health, and the related
detection and treatment of gastrointestinal diseases place a huge burden on medical …

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 …

Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach

MH Alshayeji, H Ellethy, R Gupta - Biomedical signal processing and …, 2022 - Elsevier
The early detection of breast cancer (BC) has a significant impact on reducing the disease's
mortality rate. As an effective cost-and time-saving tool, computer-aided diagnosis (CAD) …

[HTML][HTML] fMRI-Based Alzheimer's Disease Detection Using the SAS Method with Multi-Layer Perceptron Network

A Chelladurai, DL Narayan, PB Divakarachari… - Brain Sciences, 2023 - mdpi.com
In the present scenario, Alzheimer's Disease (AD) is one of the incurable neuro-
degenerative disorders, which accounts for nearly 60% to 70% of dementia cases. Currently …