Continual Learning in Medical Imaging from Theory to Practice: A Survey and Practical Analysis
Deep Learning has shown great success in reshaping medical imaging, yet it faces
numerous challenges hindering widespread application. Issues like catastrophic forgetting …
numerous challenges hindering widespread application. Issues like catastrophic forgetting …
Tiny Neural Deep Clustering: An Unsupervised Approach for Continual Machine Learning on the Edge
Traditional tiny machine learning systems are widely employed because of their limited
energy consumption, fast execution, and easy deployment. However, such systems have …
energy consumption, fast execution, and easy deployment. However, such systems have …