A machine learning framework that encodes images like a retina

EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.


Bespoke, code-free AI model beneficial for retinal images

Bespoke and code-free deep learning (CFDL) models can discriminate healthy retinal images from those with features of pre-plus or plus disease, indicating retinopathy of prematurity (ROP), according to a study published online ...

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