AI-assisted tools for everyday radiology — bone age, chest X-ray, fracture detection, scoliosis, and more.
This module predicts the age of patients up to 18 years using hand X-rays
This module evaluates probabilities of 18 chest pathologies (pneumothorax, lung opacity, consolidation, effusion, and others) and highlights pneumothorax regions with segmentation overlay.
AI-powered fracture detection across arm, leg, shoulder, waist and other skeletal regions.
Automatic Cobb angle measurement from spine X-rays using AI segmentation. Detects spinal curvature and calculates angles for scoliosis assessment.
Developmental Dysplasia of the Hip (DDH) screening from ultrasound (Graf method) or X-ray. Best for infants 0–6 months; applicable up to 12 months.
AI-powered tumour detection from breast ultrasound (segmentation + classification) or mammography X-ray (mass detection).
CT and MR perfusion maps: CBF, CBV, MTT, Tmax. Truncated SVD deconvolution with auto-detected AIF. Upload a ZIP of DICOM frames or a multi-frame DICOM.
BraTS multi-modal MRI tumor segmentation (T1, T1ce, T2, FLAIR). Skull strip + registration + nnU-Net, with per-region tumor volumes. Processing ~5–10 min. Research use only.
TotalSpineSeg (nnU-Net): automatic vertebrae, disc, spinal cord & canal segmentation on any spine MRI or CT. Upload a DICOM ZIP or NIfTI — 3-plane viewer, 3D render, morphometrics. Research use only.
nnU-Net (cascade): automatic cartilage, meniscus and bone (femur/tibia/patella) segmentation on knee MRI — 9 structures. Run it from the PACS worklist: labelled overlay in the viewer + a morphometry PDF (volumes, cartilage thickness, meniscus). Research use only.
Automated lung and lobe segmentation on chest CT (lungmask) with per-region volumes in mL. Runs from the PACS worklist on a chest CT.
This project is free. If you would like to help with hosting and development, you can donate in stablecoins — open the Donate page.