Analysis by the aitrendblend editorial team AI for medical imaging and healthcare 12 min read CACTUS: A phantom scanned cardiac ultrasound frame feeding a shared encoder that both names the view and grades its quality. A trainee holds an ultrasound probe against a mannequin chest in a Concordia University lab, angling it a few millimeters […]
CACTUS Dataset Teaches AI to Grade Cardiac Ultrasound Quality Read More »
Analysis by the aitrendblend editorial team. Medical review pending, see. Ten minute read. Medical Imaging Segmentation Dendritic Learning Breast Ultrasound Ablation Study Segmentation masks from a breast ultrasound and a lung CT scan, the two imaging types 3DL-Net was tested on. A radiologist scrolling through a breast ultrasound exam is not looking for an average.
Why 3DL-Net’s Dendritic Neurons Only Help When Paired With Its Pyramid Module Read More »
Analysis by the aitrendblend editorial team. 9 minute read. Medical Imaging AI Attention Mechanisms Vision Transformers Mamba State Space Models Segmentation A visual reference for how attention weighting highlights regions of interest during automated medical image segmentation. A radiologist scrolling through a stack of MRI slices at two in the morning does not have time
Attention Mechanisms Reshaping Medical Image Segmentation Read More »