Breast cancer–detection system using PCA, multilayer perceptron, transfer learning, and support vector machine
This study proposed a new processing method to predict breast cancer on the basis of nine
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …
Federated learning aided breast cancer detection with intelligent Heuristic-based deep learning framework
Breast cancer is the second largest cause of female cancer death and one of the most
hazardous diseases that leads to a higher mortality rate. One of the eminent medical …
hazardous diseases that leads to a higher mortality rate. One of the eminent medical …
Recent advances in computer-aided medical diagnosis using machine learning algorithms with optimization techniques
Artificial intelligence is a spectacular part of computer engineering that has earned a
compelling diversion in the field of medical data classification due to its state-of-art …
compelling diversion in the field of medical data classification due to its state-of-art …
A survey on artificial intelligence techniques for chronic diseases: open issues and challenges
Artificial Intelligence (AI) has given significant solutions to the healthcare domain for
analyzing various chronic diseases. With the advent of high-end systems, ie, Graphics …
analyzing various chronic diseases. With the advent of high-end systems, ie, Graphics …
[HTML][HTML] Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization
Cancer is a manifestation of disorders caused by the changes in the body's cells that go far
beyond healthy development as well as stabilization. Breast cancer is a common disease …
beyond healthy development as well as stabilization. Breast cancer is a common disease …
ALOA: Ant lion optimization algorithm-based deep learning for breast cancer classification
JR Fernandis - Multimedia Research, 2021 - publisher.resbee.org
Normally, breast cancer is the most familiar disease, and it is the second leading type of
cancer death among women. Breast cancer disease begins in malignant stage and it slowly …
cancer death among women. Breast cancer disease begins in malignant stage and it slowly …
[PDF][PDF] Optimized Machine Learning Performance with Feature Selection for Breast Cancer Disease Classification
AK Koirunnisa, S Faisal - Jurnal Ilmiah Teknik Elektro Komputer …, 2023 - researchgate.net
The prevalence of breast cancer is relatively high among adults worldwide. Particularly in
Indonesia, according to the latest data from the World Health Organization (WHO), breast …
Indonesia, according to the latest data from the World Health Organization (WHO), breast …
Challenges to the Early Diagnosis of Breast Cancer: Current Scenario and the Challenges Ahead
Breast cancer is still a major problem for medical research, science, and society. Breast
cancer is the most common form of cancer among women and has a high rate of mortality …
cancer is the most common form of cancer among women and has a high rate of mortality …
[PDF][PDF] A weighted wrapper approach to feature selection
This paper considers feature selection as a problem of an aggregation of three state-of-the-
art filtration methods: Pearson's linear correlation coefficient, the ReliefF algorithm and …
art filtration methods: Pearson's linear correlation coefficient, the ReliefF algorithm and …
Hybrid ABC and black hole algorithm with genetic operators optimized SVM ensemble based diagnosis of breast cancer
I Singh, KG Srinivasa, M Maurya, A Aggarwal… - Pattern Analysis and …, 2023 - Springer
Forever and a day, breast cancer has caused significant negative impacts on the quality of
lives of number of women, more often than not turning into a fatal disease. The growth in the …
lives of number of women, more often than not turning into a fatal disease. The growth in the …