Hierarchical Deep Learning for Abnormality Classification in Mouse Skeleton Using Multiview X-Ray Images: Convolutional Autoencoders Versus ConvNeXt.

Jawaid MM, Bains RS, Wells S, Brown JM

DOI: 10.3390/jimaging11100348
Published: 2025 Oct 7
Container: Journal of imaging
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/jimaging11100348,
  title = {Hierarchical Deep Learning for Abnormality Classification in Mouse Skeleton Using Multiview X-Ray Images: Convolutional Autoencoders Versus ConvNeXt.},
  author = {Jawaid MM and Bains RS and Wells S and Brown JM},
  year = {2025},
  journal = {Journal of imaging},
  doi = {10.3390/jimaging11100348},
  url = {https://doi.org/10.3390/jimaging11100348}
}

RIS

TY  - JOUR
TI  - Hierarchical Deep Learning for Abnormality Classification in Mouse Skeleton Using Multiview X-Ray Images: Convolutional Autoencoders Versus ConvNeXt.
AU  - Jawaid MM
AU  - Bains RS
AU  - Wells S
AU  - Brown JM
PY  - 2025
JO  - Journal of imaging
DO  - 10.3390/jimaging11100348
UR  - https://doi.org/10.3390/jimaging11100348
ER  -

APA

MM, J., RS, B., S, W., & JM, B. (2025). Hierarchical Deep Learning for Abnormality Classification in Mouse Skeleton Using Multiview X-Ray Images: Convolutional Autoencoders Versus ConvNeXt.. Journal of imaging. https://doi.org/10.3390/jimaging11100348

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pubmed · retrieved 2026-09-26T21:55:43.054Z