On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...
The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...
Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Abstract: Oral cancer is a major global health issue accounting for 177,384 deaths in 2018 and it is most prevalent in low- and middle-income countries. Enabling automation in the identification of ...
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
Those packages use GPU acceleration for DNN inference to estimate the pose of an object. The output prediction can be used by perception functions when fusing with the corresponding depth to provide ...
Abstract: In previous work, a methodology was proposed to obtain a sea surface object detection model based on the FasterR-CNN architecture using Sperry Marine commercial navigation radar images.
WSVM is a fully automated method using Vision Transformer (ViT) and Multiple Instance Learning (MIL) for tongue extraction and tooth-marked tongue recognition. It accurately detects the tongue region ...
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