[HTML][HTML] Accuracy analysis of deep learning methods in breast cancer classification: A structured review
Breast cancer is diagnosed using histopathological imaging. This task is extremely time-
consuming due to high image complexity and volume. However, it is important to facilitate …
consuming due to high image complexity and volume. However, it is important to facilitate …
AMIAC: adaptive medical image analyzes and classification, a robust self-learning framework
Adaptive self-learning is a promising technique in medical image analysis that enables deep
learning models to adapt to changes in image distribution over time. As medical image data …
learning models to adapt to changes in image distribution over time. As medical image data …
Breast cancer diagnosis using orca predation optimization algorithm
P Kaladevi, VV Punitha… - Journal of Intelligent …, 2023 - content.iospress.com
Early detection and classification of breast cancer can be facilitated to initiate the most
effective treatment. As the second leading cause of death among women, early breast …
effective treatment. As the second leading cause of death among women, early breast …
[HTML][HTML] Improving the robustness and quality of biomedical cnn models through adaptive hyperparameter tuning
Deep learning is an obvious method for the detection of disease, analyzing medical images
and many researchers have looked into it. However, the performance of deep learning …
and many researchers have looked into it. However, the performance of deep learning …
Unsupervised domain adaptation with local structure preservation for colon histopathological image classification
P Li, Z Ni, X Zhu, J Song, W Liu - Journal of Intelligent & Fuzzy …, 2024 - content.iospress.com
The histopathological image classification method, based on deep learning, can be used to
assist pathologists in cancer recognition in colon histopathology. The popularization of …
assist pathologists in cancer recognition in colon histopathology. The popularization of …