Tag: lesion segmentation

A study of TB-infected marmosets identifies 26 inter-reader reproducible PET/CT radiomic features that capture treatment-associated changes over time.

A unified deep learning framework called MyoSpectrumNet combines pathologic myopia screening, maculopathy grading, refraction estimation and lesion segmentation from heterogeneous ...

AgriMamba combines field images with pathological descriptions to locate diseased leaves, segment lesions and grade severity, reporting competitive performance across ...

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, ...

A new deep learning framework called MedSegNet-AXU segments multiple sclerosis lesions from 3D MRI with a 98.58 percent Dice score ...