Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
IEEE

Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer

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 ...
Tech Xplore

Drone-mounted camera can detect plastic landmines without an internet connection

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

What are plastic landmines, and can AI help detect it? Researchers develop AI method to identify hidden explosives using drones

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
GitHub

Deep learned, NVIDIA-accelerated 3D object pose estimation

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 ...
IEEE

Hyperparameters Tuning of Faster R-CNN Deep Learning Transfer for Persistent Object Detection in Radar Images

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.
GitHub

WSVM: Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition

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 ...