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Open AccessJournal ArticleDOI

The visible human male: a technical report.

TLDR
The National Library of Medicine's Visible Human Male data set consists of digital magnetic resonance (MR), computed tomography (CT), and anatomic images derived from a single male cadaver.
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This article is published in Journal of the American Medical Informatics Association.The article was published on 1996-03-01 and is currently open access. It has received 623 citations till now. The article focuses on the topics: Visible human project.

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Journal ArticleDOI

Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation

TL;DR: An expectation-maximization algorithm for simultaneous truth and performance level estimation (STAPLE), which considers a collection of segmentations and computes a probabilistic estimate of the true segmentation and a measure of the performance level represented by each segmentation.
Journal ArticleDOI

The Visible Human Project

TL;DR: The Visible Human Project data sets are designed to serve as a common reference point for the study of human anatomy, as a set of common public-domain data for testing medical imaging algorithms, and as a testbed and model for the construction of image libraries that can be accessed through networks.
Journal ArticleDOI

Construction of a 3D Probabilistic Atlas of Human Cortical Structures

TL;DR: The construction of a digital brain atlas composed of data from manually delineated MRI data, providing a resource for automated probabilistic labeling of external data types registered into standard spaces, and computed average intensity images and tissue density maps based on the three methods and target spaces.
Proceedings ArticleDOI

Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit.

TL;DR: The detailed planning and execution of the Insight Toolkit (ITK), an application programmers interface (API) for the segmentation and registration of medical image data, is presented.
Journal ArticleDOI

Infant brain atlases from neonates to 1- and 2-year-olds.

TL;DR: It is expected that the proposed infant 0–1–2 brain atlases would be significantly conducive to structural and functional studies of the infant brains.
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