
Horos
The global standard in open-source 64-bit medical image visualization.

The industry-standard open-source medical imaging platform for web-based DICOM visualization and AI-assisted workflows.
The OHIF Framework is a robust, production-ready, open-source medical imaging platform built with React and the Cornerstone.js library. In 2026, it stands as the foundational architecture for modern web-based DICOM visualization, utilized by both academic researchers and commercial OEM vendors to build custom PACS and RIS solutions. The viewer leverages high-performance rendering engines like VTK.js for 3D volume rendering and multi-planar reformatting (MPR). Its highly modular extension system allows for the seamless integration of AI inferencing, enabling clinicians to visualize segmentations, bounding boxes, and heatmaps directly in the browser. Technically, OHIF adheres to DICOMweb standards (QIDO-RS, WADO-RS, STOW-RS), ensuring interoperability with cloud-native storage solutions such as Google Cloud Healthcare API and AWS HealthImaging. Its architecture is designed for scalability, supporting high-throughput clinical environments while maintaining a zero-footprint web client, eliminating the need for local software installation and facilitating secure, cross-platform access for telemedicine and clinical research.
The OHIF Framework is a robust, production-ready, open-source medical imaging platform built with React and the Cornerstone.
Explore all tools that specialize in dicom visualization. This domain focus ensures OHIF Viewer delivers optimized results for this specific requirement.
Explore all tools that specialize in radiological annotation. This domain focus ensures OHIF Viewer delivers optimized results for this specific requirement.
Explore all tools that specialize in multi-planar reformatting (mpr). This domain focus ensures OHIF Viewer delivers optimized results for this specific requirement.
Explore all tools that specialize in 3d volume rendering. This domain focus ensures OHIF Viewer delivers optimized results for this specific requirement.
Explore all tools that specialize in ai model validation. This domain focus ensures OHIF Viewer delivers optimized results for this specific requirement.
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The global standard in open-source 64-bit medical image visualization.

The gold-standard open-source library for multidimensional image segmentation and registration.

The foundational Python library for high-precision medical image processing and segmentation validation.