Topic Hub
Medical Image Segmentation — Everything PYCAD Has Built
Services, tools, checklists, and guides on AI segmentation, nnU-Net, MONAI, Dice scoring, and annotation — all in one place.
Book a Discovery CallServices
What We Build
Custom AI segmentation models, MONAI and nnU-Net deployment pipelines, annotation workflows, and radiology AI integrations — built for medical device companies, research teams, and clinical platforms.
End-to-end AI development for segmentation, detection, and classification — from data pipeline to deployed model in your clinical platform.
⚙️Production deployment of MONAI Label and nnU-Net segmentation models into cloud, on-premise, or hybrid imaging workflows.
✏️Expert annotation of CT, MRI, X-ray, and ultrasound data for model training — structured, QA'd, and delivered in your required format.
🔄Integrate segmentation and detection models into radiology reading workflows — auto-routing, pre-annotation, and report generation.
📋Scope and build a regulation-aware AI MVP — with quality system documentation, risk analysis, and audit trail from day one.
💬Have a specific anatomy, modality, or workflow requirement? Book a call — we scope every project individually.
Free Tool
Validate Your Segmentation Quality
Calculate segmentation overlap from voxel counts or binary masks — instant, browser-based, no account needed.
Input voxel counts or paste binary masks. Get Dice score, Jaccard/IoU, overlap %, and a clinical interpretation note. Free, browser-only.
🔄Choose a conversion path for segmentation outputs — DICOM→NIfTI for training, NIfTI→STL for 3D planning, and more. With tooling and caveats.
Free Checklist
Before You Deploy a Segmentation Model
What you need to validate, document, and prepare before deploying an AI segmentation model into a clinical imaging workflow — validation, data pipelines, DICOM compatibility, compliance, and monitoring.
In-Depth Guides
Segmentation Articles & Guides
Technical and practical guides on medical image segmentation — models, frameworks, metrics, and anatomy-specific workflows.
Need a segmentation model for your platform?
We build and deploy custom AI segmentation pipelines — from training data to production inference inside your DICOM viewer or platform.
Book a Free Discovery Call