Fine-tuning the TerraMind Earth Observation foundation model for water segmentation using Sentinel-1 SAR imagery. - Sina-Mohammadi/terramind-sentinel1-water-segmentation ...

A frequency-aware sparse vision transformer outperformed comparison models on organ, cardiac, breast, skin and polyp ...

As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to extract useful information from scans that were never manually annotated.

UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three brain-tumor types and delineated their MRI boundaries on two public datasets.

Example of segmentation visualization in the CrossSegmentationExplorer system. After selecting the image volume, segmentation models or files are chosen from the drop-down menus. For each selected ...

A research team from South Korea’s Jeju National University has developed a novel deep learning PV segmentation technique for remote sensing images. Called the Solar-Mamba, the novel method is a ...