What Is Semi-Supervised Learning? Semi-supervised learning is a powerful machine learning technique that combines the strengths of supervised and unsupervised learning. It leverages a small amount of ...
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 ...
Deep learning shows a lot of promise in healthcare, especially in medical imaging, where it can help improve the speed and accuracy of diagnosing patient conditions. But it also faces a serious ...
The purpose of the present study is to develop fast automated quantification of retinal fluid in optical coherence tomography (OCT) image sets. Fluid identification using our pipeline was tested on ...
In his 2017 Amazon shareholder letter, Jeff Bezos wrote something interesting about Alexa, Amazon’s voice-driven intelligent assistant: In the U.S., U.K., and Germany, we’ve improved Alexa’s spoken ...
Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...
OBJECTIVETo assess the methodological quality of studies on prediction models developed using machine learning techniques across all medical specialties. DESIGNSystematic review. DATA SOURCESPubMed ...
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