Multi-feature Response Attention Network for kidney stone detection and measurement of stone size in ultrasound images
- DOI
- 10.1371/journal.pone.0359214
- Published
- 2026-10-15
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0359214,
title = {Multi-feature Response Attention Network for kidney stone detection and measurement of stone size in ultrasound images},
author = {Vijaya Padmanabha and Mohamed Sirajudeen Yoosuf and Anand Mahendran and Joseph Mani and Anisha Prima Rodrigues and Gururaj Bijur and Hothefa Jassim},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0359214},
url = {https://doi.org/10.1371/journal.pone.0359214}
}RIS
TY - JOUR TI - Multi-feature Response Attention Network for kidney stone detection and measurement of stone size in ultrasound images AU - Vijaya Padmanabha AU - Mohamed Sirajudeen Yoosuf AU - Anand Mahendran AU - Joseph Mani AU - Anisha Prima Rodrigues AU - Gururaj Bijur AU - Hothefa Jassim PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0359214 UR - https://doi.org/10.1371/journal.pone.0359214 ER -
APA
Padmanabha, V., Yoosuf, M. S., Mahendran, A., Mani, J., Rodrigues, A. P., Bijur, G., & Jassim, H. (2026). Multi-feature Response Attention Network for kidney stone detection and measurement of stone size in ultrasound images. PLOS One. https://doi.org/10.1371/journal.pone.0359214
Source records
- crossref · retrieved 2026-11-10T09:50:37.423Z