AI-powered DICOM viewer with smart slice selection for medical image analysis
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Updated
Mar 1, 2026 - TypeScript
AI-powered DICOM viewer with smart slice selection for medical image analysis
Multi-language DICOM workbench for comparing DCMTK, GDCM, ITK/VTK, dicom-rs, fo-dicom, dcm4che, Cornerstone3D, pydicom/pynetdicom, and related backends through a shared UI and contract runner.
Visor web de imagenes DICOM con analisis radiologico asistido por IA (Claude Sonnet 4). Abre el ZIP de la consulta, visualiza radiografias y obtiene un informe orientativo.
A comprehensive web application for radiologists featuring a worklist management system and medical image viewer. Built with ASP.NET Core for the backend, React.js for the frontend, and Microsoft SQL Server database.
Open-source, private and local-first dental CBCT/DICOM viewer.
AI-Powered Medical Imaging Analysis & Research Segmentation Platform
🧬 Web-native 2D/3D DICOM workstation with Cornerstone3D MPR, VTK.js 3D meshing, and dual-engine AI (TotalSegmentator & MONAI) for organ volumetry and lesion detection.
A small example project demonstrating the integration of Cornerstone3D with Nuxt 3 for interactive 3D medical image visualization. Ideal for learning and experimentation with DICOM images in a web context.
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