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3DICOM R&D for Medical AI Models

Medical image labelling software for Medical AI dataset creation & testing

Use in-built medical image segmentation tools to label medical images in 2D and 3D, create binary masks for AI training datasets, and test new medical AI models, all for just USD$19.95 per month.

3Dicom R&D works on both Windows and MacOS.

Disclaimer: 3Dicom R&D is NOT a Medical Device and is intended for research, scientific & educational purposes only.

Create training datasets for medical AI models with medical image labelling & annotations

Multi-class masking and medical image labeling in 3Dicom R&D
Create multi-class masks for medical AI model training with ease.

The use of artificial intelligence in medicine and particularly medical imaging is growing a massive Compound Annual Growth Rate (CAGR) of 30.4%.

Before AI models can make it to market, vast datasets of labelled medical images are required to train convolutional neural networks to identify and automatically segment organs-at-risk, various pathologies and anatomical structures.

3Dicom R&D allows for the creation of highly accurate segmentation of anatomy with both manual and rule-based segmentation and island removal which can then be exported as multi-class and binary masks for use in these training datasets as well as for the creation of physical 3D printed anatomical models.

Our development team are currently working on APIs and SDKs to allow researchers to integrate and test the outputs of their machine learning and AI models inside of the R&D software for a full end-to-end medical image research tool.

Connecting an intuitive graphical interface with the power of Python

Cadaveric studies provide medical students with an unparalleled practical exposure to human anatomy however, the cost of cadavers is high and limits their learning to one patient’s body and pathologies.

By combining 3Dicom R&D’s advanced 3D rendering, realistic colour rendering and leveraging the thousands of open source CT & MRI scans with diverse pathologies from databases such as The Cancer Imaging Archive, you can provide your students with wider exposure to radiological images with virtual anatomy and pathology.

Further enhance virtual pathological scans with 2D & 3D labels provided by our annotation tool and segmenting pathology.

Bulk Convert DICOM Files and Binary Masks to JPEG or PNG

A full suite of segmentation tools allow for researchers, educators and even students to segment particular anatomical structures with different colours and labels.

Using semi-automated techniques such as threshold flood-fill, level tracing, and island removal, scans can be rapidly segmented with small edits made manually.

Whilst in the software, segments can be viewed in 3D and overlaid on the initial scan to provide a contextual understanding of that anatomy, pathology or even implant.

Segmented anatomy and pathology can be exported to STL, OBJ or PLY file types for use in modeling software and also for the manufacture of physical 3D anatomical models using 3D printing or traditional manufacturing.

Integrate and Test Your Medical AI Model In 3Dicom R&D

We’re constantly working on new integrations with 3rd party programs and toolkits to allow for in-silico modeling with full 3D volumetric and materials analysis.

Users also have the ability to use the in-built Medical Computer Aided Design (MCAD) functionality to import, manipulate and position medical devices from screws to patient-specific implants ‘into’ the virtual patient’s anatomy.

Test your hypotheses and the fit and design of your next medical device with virtual patients created from real patient’s radiological images.

Conceptual Image for 2D Measurement Tool

3Dicom R&D also features…

Cutting Edge Colour Rendering

Raycasting and 3D transfer functions bring greyscale MRI and CT scans to life mapping realistic colour ranges to anatomy and adding depth perception to the 3D model with the use of lighting and shadows.

Import & Export STL, OBJ and PLY Files

Use the MCAD suite to import various 3D model formats, align the 3D models with the radiological scan or themselves and then merge, duplicate and otherwise edit the 3D models prior to export.
Export segments as Masks for ML/AI and/or common 3D file types.

Measurement & Annotation Tools

Obtain quantitative results with 2D and 3D measuring tools allow for the measurements of distance, area, circumference, volume and angles.
Annotate areas of interest in scans in the 2D views to add labels in the 3D model.

Conduct Novel Medical Research with 3D Aspects

Design studies with the use of 3D reconstructions and investigate patient and practitioner comprehension compared to traditional 2D imaging.
Publish results with 3D visualization and present at your next conference with videos and images taken direct from the 3Dicom software.

Visualise Results In Virtual Reality (June 2022)

Using the Medical File Transfer Protocol (MFTP), transfer images from the desktop software to standalone Virtual Reality headsets like the Oculus Quest 2 headset from Meta and view scans in fully immersive VR.

And much more….


3D Image Manipulation & Visualisation


Collaborative Medical Workflows & Analysis


Plan Surgeries & Export 3D Models to 3D Print


Medical Image Segmentation & AI Models

On-device DICOM image loading, local file storage & standard 2D views

Visualise CT, PET & MRI scans in 2D & 3D with the Rotate, Pan & Zoom tool

Intuitive HU Window Feature exposes internal anatomy & structures

Integrates with local PACS systems for improved workflows

Conduct remote collaborative sessions with internal communication system

Segment specific anatomy and export to .STL files for 3D print

Import and visualise patient-specific implants and guides with MCAD

Perform in-silico testing of medical devices and test the output of R&D phase medical AI models

Educate med students & bio-engineers with real pathology & cases in 3D.