New Framework Improves Retinal Image Segmentation via Multi-View Learning
A new multi-view self-supervised learning framework improves retinal fundus image segmentation by combining wide and narrow field-of-view inputs with grid ...
A new multi-view self-supervised learning framework improves retinal fundus image segmentation by combining wide and narrow field-of-view inputs with grid ...
A selective dual-key encryption scheme uses hybrid chaotic maps to protect critical regions of medical CT images while supporting real-time ...
A convolution-inspired Spiking Neural P circuit encodes halftone binary images into colored spikes with a 75 percent size reduction and ...
A new Python-based workflow aboard the drilling vessel Chikyu turns raw X-ray CT scans of drill cores into accessible images ...
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© 2026 Scienmag - Science Magazine