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Cardiac CT Image Segmentation and Labeling

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Federal

Contract Overview

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This subcontract for the National Institutes of Health Olao involves the expert manual annotation and segmentation of contrast-enhanced cardiac CT imaging datasets to support cardiovascular AI research projects. The contractor is responsible for processing 235 studies using an approved third-party platform, ensuring all work adheres to specific ontology definitions and guidelines while implementing strict safeguards for de-identified government data. The primary deliverable is a comprehensive cardiovascular segmentation dataset consisting of the 235 annotated studies. This project falls under NAICS code 621210 and is managed under the Department of Health and Human Services.

General Info

Contract for manual annotation and segmentation of 235 cardiac CT imaging datasets.

Agency

Department Of Health And Human Services → National Institutes Of Health OlaoView Agency

NAICS

621210 - Offices of DentistsView NAICS

Place of Performance

MD

Set-Aside

NONE

Documents

This scope was carved out of 75N98026Q01111.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Cardiac CT Anatomical Segmentation Dataset Develop

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → National Institutes Of Health Olao
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Health And Human Services → National Institutes Of Health Olao
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Office AddressN/A
ContactsNo contact information available

Full Description

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Performs expert manual annotation and segmentation of contrast-enhanced cardiac CT imaging datasets for prime contractors on NIH NHLBI cardiovascular AI research projects. Manually annotates 235 studies following provided ontology definitions and guidelines using an approved third-party annotation platform. Implements safeguards for de-identified government data. Delivers a comprehensive cardiovascular segmentation dataset of 235 annotated studies.

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