Enhancing Unsupervised Segmentation Frameworks for Volumetric Medical Images via Superpixel Segmentation and Agglomerative Clustering
- DOI
- 10.3233/shti260129
- Published
- 2026-05-21
- Container
- Studies in Health Technology and Informatics
- Publisher
- IOS Press
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3233/shti260129,
title = {Enhancing Unsupervised Segmentation Frameworks for Volumetric Medical Images via Superpixel Segmentation and Agglomerative Clustering},
author = {Minh-Tri Nguyen and Phung-Anh Nguyen and Ngoc-Hoang Le},
year = {2026},
journal = {Studies in Health Technology and Informatics},
doi = {10.3233/shti260129},
url = {https://doi.org/10.3233/shti260129}
}RIS
TY - JOUR TI - Enhancing Unsupervised Segmentation Frameworks for Volumetric Medical Images via Superpixel Segmentation and Agglomerative Clustering AU - Minh-Tri Nguyen AU - Phung-Anh Nguyen AU - Ngoc-Hoang Le PY - 2026 JO - Studies in Health Technology and Informatics DO - 10.3233/shti260129 UR - https://doi.org/10.3233/shti260129 ER -
APA
Nguyen, M., Nguyen, P., & Le, N. (2026). Enhancing Unsupervised Segmentation Frameworks for Volumetric Medical Images via Superpixel Segmentation and Agglomerative Clustering. Studies in Health Technology and Informatics. https://doi.org/10.3233/shti260129
Source records
- crossref · retrieved 2026-09-26T19:08:37.001Z