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17-year-old builds AI tool to speed malaria and blood-disease diagnosis
Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...
Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...
This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...
EM, biochemical, and cell-based assays to examine how Gβγ interacts with and potentiates PLCβ3. The authors present evidence for multiple Gβγ interaction surfaces and argue that Gβγ primarily enhances ...
AI-generated images are getting increasingly realistic, yet there are still telltale details that can reveal when something is fake. I’ve been writing about consumer technology and video games for ...
Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...
Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
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