{"best_for":["Healthcare AI development teams","Medical research institutions","Hospitals developing diagnostic tools","Medical imaging startups"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/encord-dicom-tool","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/encord-dicom-tool.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-018.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: Encord DICOM Tool (https://aitoolsforbusiness.ai/encord-dicom-tool)"},"features":["AI-Assisted Labeling: Uses the Segment Anything Model 2 and other automated capabilities to help create segmentation masks.","3D Annotation & Multi-plane Views: Supports 3D annotations and customizable layouts for medical imaging review.","HIPAA Compliance: Includes security controls designed to support the handling of sensitive medical data in accordance with HIPAA standards.","Customizable Workflows: Supports the creation of no-code labeling pipelines with stages for annotation, review, and consensus.","Study-Level Classifications: Identifies series belonging to the same study using metadata for study-level labeling.","Interpolation Tools: Interpolates labels across slices in DICOM files, which may reduce the number of images an annotator needs to label manually."],"freshness_status":"fresh","name":"Encord DICOM Tool","pricing_note":"Pricing is available in three tiers: Starter for individuals and small teams, Team for scaling applications, and Enterprise for multi-team organizations. Pricing for the DICOM add-on was not explicitly detailed in the evidence; buyers should confirm current pricing on the vendor website.","pricing_url":"https://encord.com/pricing/","primary_category":"Healthcare","profile_last_verified":"2026-06-03T17:25:14.050Z","secondary_categories":[],"short_description":"Encord DICOM Tool provides AI-assisted labeling and annotation for medical imaging files such as CT, MRI, and Ultrasound to help build AI training data.","slug":"encord-dicom-tool","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/encord-dicom-tool","use_cases":["Medical AI Training Data Generation: Creating annotated datasets from DICOM images for training computer vision models.","Vascular Ultrasound Analysis: Segmenting inner and outer lumens in ultrasound images to support diagnostic research.","Pathology Shape Capture: Using interpolation to capture the shape of pathologies across multiple imaging slices.","Dataset Curation: Filtering and slicing large medical datasets to identify and fix label errors."],"website_url":"https://encord.com/dicom/"}