Automated Anatomical Segmentation of Brain Regions
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The contract seeks to deliver an automated computational method for segmenting 3D brain images into more than 820 precisely defined anatomical regions, enabling high-resolution neural mapping. This work relies on artificial intelligence or atlas-based algorithms to accurately identify and delineate complex brain structures, supporting advanced neuroscientific research and clinical applications. The project demands robust, reproducible, and scalable software capable of processing diverse neuroimaging data while maintaining consistent precision across the full spectrum of targeted regions. Issued as a subcontract under the NAICS code 541714 by the National Institutes of Health through the Department of Health and Human Services, the effort is focused on performance in Bethesda, Maryland, with a response deadline of August 5, 2026. The solicitation was posted on July 27, 2026, and no specific set-aside status or point of contact details are provided. All proposals must demonstrate technical capability in AI-driven medical image analysis and the ability to meet the stringent requirements of anatomical segmentation at a scale and accuracy required for detailed brain mapping.
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Bethesda, MD, 20892, USASet-Aside
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