Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 725

The DOI matches its Crossref record.

The Visible Human Project

Ackerman, M.J.·1998·Proceedings of the IEEE

Abstract

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. The data sets are being applied to a wide range of educational, diagnostic, treatment planning, virtual reality, artistic, mathematical, and industrial uses by more than 800 licensees in 27 countries. But key issues remain in the development of methods to link such image data to text-based data. Standards do not currently exist for such linkages. Basic research is needed in the description and representation of image-based structures and in the connection of image-based structural-anatomical data to text-based functional-physiological data. This is the larger, long-term goal of the Visible Human Project: to link the print library of functional-physiological knowledge with the image library of structural-anatomical knowledge transparently into one unified resource of health information.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/5.662875

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 725

Metadata

Authors
Ackerman, M. J.
Venue
Proceedings of the IEEE
Published
1998-03
Volume
86
Issue
3
Pages
504-511
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2166657119
Cited by
725
References
0
FWCI
12.30
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Visible Human Project. https://app.cochat.ai/papers/10.1109/5.662875
The paper
Ackerman, M. J. (1998). The Visible Human Project. Proceedings of the IEEE. https://doi.org/10.1109/5.662875

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.