[HTML][HTML] A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application
M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …
source, pretrained convolutional neural networks and conventional machine learning …
[HTML][HTML] A secure internet of medical things framework for breast cancer detection in sustainable smart cities
Computational intelligence (CI) and artificial intelligence (AI) have incredible roles to play in
the development of smart and sustainable healthcare systems by facilitating the integration …
the development of smart and sustainable healthcare systems by facilitating the integration …
[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 …
[HTML][HTML] Enhanced Pre-Trained Xception Model Transfer Learned for Breast Cancer Detection
Early detection and timely breast cancer treatment improve survival rates and patients'
quality of life. Hence, many computer-assisted techniques based on artificial intelligence are …
quality of life. Hence, many computer-assisted techniques based on artificial intelligence are …
[HTML][HTML] A blockchain-enabled internet of medical things system for breast cancer detection in healthcare
S Chaudhury, K Sau - Healthcare Analytics, 2023 - Elsevier
Intelligent and sustainable healthcare systems can considerably benefit from applying
Computational Intelligence (CI) and Artificial Intelligence (AI). These technological …
Computational Intelligence (CI) and Artificial Intelligence (AI). These technological …
[HTML][HTML] BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in …
The early detection of breast cancer using mammogram images is critical for lowering
women's mortality rates and allowing for proper treatment. Deep learning techniques are …
women's mortality rates and allowing for proper treatment. Deep learning techniques are …
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
[HTML][HTML] Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review
Background Recent advancements in computing power and state-of-the-art algorithms have
helped in more accessible and accurate diagnosis of numerous diseases. In addition, the …
helped in more accessible and accurate diagnosis of numerous diseases. In addition, the …
[PDF][PDF] Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification
Breast cancer (BC) is the most widespread tumor in females worldwide and is a severe
public health issue. BC is the leading reason of death affecting females between the ages of …
public health issue. BC is the leading reason of death affecting females between the ages of …
[PDF][PDF] Food Classification Using Deep Learning: Presenting a New Food Segmentation Dataset.
M Farooqui, A Rahman, R Alorefan… - Mathematical …, 2023 - researchgate.net
Accepted: 1 February 2023 Calorie estimation is of significant importance in promoting a
healthy lifestyle, as it enables individuals to effectively manage their weight. Applications …
healthy lifestyle, as it enables individuals to effectively manage their weight. Applications …