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 …
Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
[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 …
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] 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 …
Enhancing breast cancer detection and classification using advanced multi-model features and ensemble machine learning techniques
Breast cancer (BC) is the most common cancer among women, making it essential to have
an accurate and dependable system for diagnosing benign or malignant tumors. It is …
an accurate and dependable system for diagnosing benign or malignant tumors. It is …
Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images
The task of classification and localization with detecting abnormalities in medical images is
considered very challenging. Computer-aided systems have been widely employed to …
considered very challenging. Computer-aided systems have been widely employed to …
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 …
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] Next-generation diagnostics: the impact of synthetic data generation on the detection of breast cancer from ultrasound imaging
Breast cancer is one of the most lethal and widespread diseases affecting women
worldwide. As a result, it is necessary to diagnose breast cancer accurately and efficiently …
worldwide. As a result, it is necessary to diagnose breast cancer accurately and efficiently …