Deep learning cascade networks for segmentation of fluorine-18 sodium fluoride positron emission tomography scans of equine metacarpo- and metatarsophalangeal joints outperform atlas-based method

Accurate and robust segmentation of PET fetlocks enables more accurate analysis and novel insights into lesion characterization.

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Publication Details

Journal
American Journal of Veterinary Research
Published
2026-02-16
DOI
https://doi.org/10.2460/ajvr.25.11.0421
Primary Topic
Veterinary Equine Medical Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning cascade networks for segmentation of fluorine-18 sodium fluoride positron emission tomography scans of equine metacarpo- and metatarsophalangeal joints outperform atlas-based method

Sergey Anishchenko, Kathryn W. Bills, Mathieu Spriet, David Beylin et al.
American Journal of Veterinary Research
Veterinary Equine Medical Research
article

Deep learning cascade networks for segmentation of fluorine-18 sodium fluoride positron emission tomography scans of equine metacarpo- and metatarsophalangeal joints outperform atlas-based method

Sergey Anishchenko, Kathryn W. Bills, Mathieu Spriet, David Beylin, Pavel Stepanov, Karina Stepanova, Danielle Beylin, Natalie Beylin
article en

Abstract

Accurate and robust segmentation of PET fetlocks enables more accurate analysis and novel insights into lesion characterization.

American Journal of Veterinary Research
Scientific Software International (United States) (US), University of Pennsylvania (US), University of California, Davis (US)
Openalex Percentile: Top 49%
Veterinary Equine Medical Research
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