Neuroscientists and computer vision scientists say a new dataset of unprecedented size—comprising brain scans of four volunteers who each viewed 5,000 images—will help researchers better understand how the brain processes images. Researchers at Carnegie Mellon University and Fordham University, reporting today in the journal Scientific Data, said acquiring functional magnetic resonance imaging (fMRI) scans at […]
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SPIE journal announces public access to largest multi-lesion medical imaging dataset
A paper published today in the Journal of Medical Imaging – “DeepLesion: Automated mining of large-scale lesion annotations and universal lesion detection with deep learning,—announced the open availability of the largest CT lesion-image database accessible to the public. Such data are the foundations for the training sets of machine-learning algorithms; until now, large-scale annotated radiological […]