Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

Medical imaging analysis plays a pivotal role in clinical decision-making, aiding in diagnosis, treatment planning, and monitoring. The advent of deep learning has significantly enhanced the ...

“If artificial intelligence is a cake, self-supervised learning is the bulk of the cake,” LeCun says. “The next revolution in AI will not be supervised, nor purely reinforced.” This story is ...

In recent years, computational pathology has undergone an unprecedented development process due to novel trends in digital imaging technologies and deep learning mechanisms 1. The analysis of ...