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 Video

Updated: May 26, 2026

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
08:39

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects

Published on: June 24, 2025

Medical image analysis

Felix Ritter1, Tobias Boskamp, André Homeyer

  • 1Fraunhofer MEVIS-Institute for Medical Image Computing.

IEEE Pulse
|December 8, 2011
PubMed
Summary

No abstract available in PubMed .

More Related Videos

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
08:32

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

Published on: October 2, 2020

Hybrid µCT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Related Experiment Videos

Last Updated: May 26, 2026

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
08:39

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects

Published on: June 24, 2025

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
08:32

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

Published on: October 2, 2020

Hybrid µCT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

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

Multi-institutional classification of fibroglandular tissue and background parenchymal enhancement in breast MRI using deep learning.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

Joint zonated quantification of multiple parameters in hepatic lobules.

Scientific reports·2026
Same author

Influence of odorants on preterm and term infants during neonatal intensive care: Overview and perspectives.

Zeitschrift fur Geburtshilfe und Neonatologie·2026
Same author

Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review.

Npj imaging..·2025
Same author

Image Quality Assessment of a Deep Learning-Based Automatic Bone Removal Algorithm for Cervical CTA.

Journal of computer assisted tomography·2024
Same author

Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative.

Journal of pathology informatics·2024
Same journal

The Heart of the Metaverse: How Immersive Technologies Are Revolutionizing Cardiac Care.

IEEE pulse·2026
Same journal

Benefits for Early Diagnosis, Treatment, and Research.

IEEE pulse·2026
Same journal

At the Crossroads of Innovation.

IEEE pulse·2026
Same journal

Robotics in the Cath Lab: Precision, Safety, and the Rise of Remote Cardiac Interventions.

IEEE pulse·2026
Same journal

Industry Corner Live With BioBeat CEO Arik Ben Ishay.

IEEE pulse·2026
Same journal

Engineering the Next Generation of Artificial Hearts.

IEEE pulse·2026
See all related articles