Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...
Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...
Abstract: This paper examines the development of continuous signal pre-processing methods for segmentation, with a particular emphasis on the application of machine learning. Signal segmentation plays ...
Abstract: Accurate 3D tooth segmentation is essential for computer-aided orthodontic diagnosis and treatment. To tackle over-and under-segmentation in complex clinical cases, this paper presents ...
There was an error while loading. Please reload this page. This Matlab code implements the transitional Bayesian Quadrature (TBQ) for Bayesian model inference, with ...
Recent work reports striking but counter-intuitive LLM behaviors—e.g., one-shot training rivals full-dataset performance, noisy rewards suffice, and negative-only samples beat sophisticated ...
Nvidia’s $100B OpenAI deal cements it as AI’s backbone, fueling massive compute growth while raising risks over energy, water, politics, and overreliance—potentially the boldest, riskiest… ...
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