Breast cancer detection using artificial intelligence techniques: A systematic literature review
Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has
been developed for it. Breast cancer is one of the most common cancer types. According to …
been developed for it. Breast cancer is one of the most common cancer types. According to …
Deep learning based methods for breast cancer diagnosis: a systematic review and future direction
Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
Breast Cancer Diagnosis Using a Novel Parallel Support Vector Machine with Harris Hawks Optimization
Three contributions are proposed. Firstly, a novel hybrid classifier (HHO-SVM) is introduced,
which is a combination between the Harris hawks optimization (HHO) and a support vector …
which is a combination between the Harris hawks optimization (HHO) and a support vector …
Review of intelligent algorithms for breast cancer control: A Latin America perspective
JM Valencia-Moreno… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Breast cancer in women is a worldwide health problem that is one of the main causes of
death. This situation is accentuated in Latin America and the Caribbean countries, where …
death. This situation is accentuated in Latin America and the Caribbean countries, where …
Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis
K Karimi, A Ghodratnama… - Annals of Operations …, 2023 - Springer
In recent decades, breast cancer has become one of the leading causes of mortality among
women. This disease is not preventable because of its unknown causes; however, its early …
women. This disease is not preventable because of its unknown causes; however, its early …
Deep transferable learning on heartbeat classification for imbalance dataset
Electrocardiogram (ECG) data recorded by medical devices are hard to analyze manually.
Therefore, it is important to analyze and categorize each heartbeat using machine learning …
Therefore, it is important to analyze and categorize each heartbeat using machine learning …