Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Informatics in radiology (infoRAD): NeatVision: visual programming for computer-aided diagnostic applications.

Paul F Whelan1, Robert J T Sadleir, Ovidiu Ghita

  • 1Vision Systems Group, School of Electronic Engineering, Dublin City University, Dublin 9, Ireland. paul.whelan@eeng.dcu.ie

Radiographics : a Review Publication of the Radiological Society of North America, Inc
|November 13, 2004
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Loss of normal facial asymmetry in schizophrenia and bipolar disorder: Implications for development of brain asymmetry in psychotic illness.

Psychiatry research·2024
Same author

Refining the resolution of craniofacial dysmorphology in bipolar disorder as an index of brain dysmorphogenesis.

Psychiatry research·2020
Same author

The definitions of three-dimensional landmarks on the human face: an interdisciplinary view.

Journal of anatomy·2015
Same author

Evaluation of Yogurt Microstructure Using Confocal Laser Scanning Microscopy and Image Analysis.

Journal of food science·2015
Same author

3-D Facial Landmark Localization With Asymmetry Patterns and Shape Regression from Incomplete Local Features.

IEEE transactions on cybernetics·2014
Same author

Automatic segmentation of mitochondria in EM data using pairwise affinity factorization and graph-based contour searching.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2014

NeatVision is a free visual programming environment for medical image analysis, offering over 300 algorithms. It simplifies the development of computer-aided diagnostic (CAD) applications for users of all skill levels.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Software Development

Background:

  • Developing computer-aided diagnostic (CAD) applications requires specialized programming skills.
  • Existing medical image analysis tools can be complex and difficult to use.

Purpose of the Study:

  • To develop a free, user-friendly visual programming environment for medical image analysis.
  • To simplify the creation of CAD applications by abstracting programming complexities.

Main Methods:

  • Developed NeatVision, a visual programming environment with a graphical interface.
  • Integrated over 300 image manipulation, processing, and analysis algorithms.
  • Provided an extensible developer's interface for advanced customization and algorithm updates.

Related Experiment Videos

Main Results:

  • NeatVision offers high-level access to a broad range of image processing algorithms.
  • The environment facilitates dynamic and straightforward implementation of CAD techniques.
  • Both standard and developer versions are freely downloadable and cross-platform compatible.

Conclusions:

  • NeatVision empowers users of all expertise levels to focus on CAD design rather than programming intricacies.
  • The tool accelerates the development cycle for image analysis-based CAD applications.
  • NeatVision democratizes access to advanced medical image analysis tools.