Tag: vision transformer

A cross-validation study of 1,090 images from one public orange dataset found 99.12% ± 0.71% accuracy for ViT + PCA ...

In a prompted evaluation of three Aortic Vessel Tree cohorts and one Type-B Aortic Dissection dataset, VesselSAM achieved slice-averaged Dice ...

A new explainable transformer that combines frequency-domain analysis and topology-aware structural modeling achieves 97.86 percent accuracy in classifying eight retinal ...

Researchers have unveiled MiRAGE, a parameter-efficient AI framework that adapts its computational depth to each satellite image and uses CLIP ...

Every year, acute lymphoblastic leukemia claims thousands of lives, many of them children, and the first clue to its presence ...

A new calibration-aware Vision Transformer framework classifies brain tumor MRI scans with over 98 percent accuracy while flagging uncertain cases ...

A deep learning framework called InvZW leaves images completely unaltered while training a neural network through noise-adversarial learning to extract ...

A Portuguese team built a multi-stage AI pipeline that segments vertebrae and discs in multi-vendor lumbar MRI, then classifies each ...

Researchers built ViTDrone, a Vision Transformer framework that simultaneously steers a drone through corridors and detects collisions while using Grad-CAM ...

Researchers have adapted Meta's Segment Anything Model for medical imaging by combining low-rank fine-tuning, Mamba-based adapters, and a prompt-free decoder, ...