[HTML][HTML] Breast cancer detection and analytics using hybrid cnn and extreme learning machine
V Sureshkumar, RSN Prasad… - Journal of Personalized …, 2024 - mdpi.com
Early detection of breast cancer is essential for increasing survival rates, as it is one of the
primary causes of death for women globally. Mammograms are extensively used by …
primary causes of death for women globally. Mammograms are extensively used by …
Multi-class breast cancer classification using cnn features hybridization
Breast cancer has become the leading cause of cancer mortality among women worldwide.
The timely diagnosis of such cancer is always in demand among researchers. This research …
The timely diagnosis of such cancer is always in demand among researchers. This research …
On the local convergence of ADAM-DPGAN with simultaneous and alternating gradient decent training methods
Abstract Generative Adversarial Networks (GANs) do not ensure the privacy of the training
datasets and may memorize sensitive details. To maintain privacy of data during inference …
datasets and may memorize sensitive details. To maintain privacy of data during inference …
Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments
Healthcare industries face challenges when experiencing rare diseases due to limited
samples. Artificial Intelligence (AI) communities overcome this situation to create synthetic …
samples. Artificial Intelligence (AI) communities overcome this situation to create synthetic …