For medical imaging utilities, the strongest matches are ohif/viewers (This is a web-based medical imaging platform that provides), nroduit/weasis (Weasis is a comprehensive medical imaging viewer that provides) and wasserth/totalsegmentator (This tool provides advanced AI-driven segmentation and quantitative analysis). Each is ranked by relevance to your query, popularity and recent activity.
Explore the best open-source medical imaging software. Compare top-rated tools by features and activity to find the best fit for your project.
Viewers is a zero-footprint DICOMweb medical imaging viewer and a modular plugin framework. It serves as a diagnostic interface for rendering 2D and 3D medical images, providing a web-based clinical workflow engine to automate image layouts and toolsets. The project distinguishes itself through a highly extensible architecture that allows for the development of custom clinical workflows, specialized viewing modes, and the integration of external functional extensions. It includes a dedicated command line interface for managing these plugins and supports white-labeling through a comprehensive
This is a web-based medical imaging platform that provides comprehensive DICOM viewing, multi-planar reconstruction, and image analysis capabilities, making it a flagship tool for clinical diagnostic workflows.
Weasis is a professional medical imaging platform designed for the visualization, analysis, and integration of clinical studies. It functions as a modular framework that supports the rendering of diverse medical data, including multi-modal images, 3D volumes, segmentations, and structured reports. By utilizing standardized protocols, the platform serves as a comprehensive viewer that connects directly to hospital archives and clinical information systems. The platform distinguishes itself through a highly extensible, plugin-based architecture that allows developers to integrate custom tools,
Weasis is a comprehensive medical imaging viewer that provides native DICOM support, multi-planar reconstruction, and seamless PACS integration, functioning as both a web-based and desktop-deployable solution.
TotalSegmentator is a medical image segmentation tool and AI-driven organ segmenter designed to isolate anatomical structures from CT scans. It functions as a deep learning anatomy parser and quantitative radiomics analyzer, providing a framework for identifying diverse body tissues and bones to create precise anatomical masks. The system distinguishes itself through a comprehensive medical analysis suite that includes patient biometric estimation for demographics such as age, sex, weight, and height. It further provides specialized clinical index calculations and modality and phase classific
This tool provides advanced AI-driven segmentation and quantitative analysis for CT scans, serving as a specialized processing engine for medical imaging data even though it lacks a built-in interactive viewer or PACS interface.