RNNet-MST: A ResNet-50 with Multi-Scale Transformer Blocks for Pulmonary Nodule Classification and Attention-Based Localization on Chest X-Ray Images.
- DOI
- 10.3390/diagnostics16101574
- Published
- 2026 May 21
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16101574,
title = {RNNet-MST: A ResNet-50 with Multi-Scale Transformer Blocks for Pulmonary Nodule Classification and Attention-Based Localization on Chest X-Ray Images.},
author = {Bilan EF and Manduriaga ET and Salapare HS 3rd and Garcia YM and Mata KE and Banal RAR and Ang IC and Chu WT and Cortez DMA},
year = {2026},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics16101574},
url = {https://doi.org/10.3390/diagnostics16101574}
}RIS
TY - JOUR TI - RNNet-MST: A ResNet-50 with Multi-Scale Transformer Blocks for Pulmonary Nodule Classification and Attention-Based Localization on Chest X-Ray Images. AU - Bilan EF AU - Manduriaga ET AU - Salapare HS 3rd AU - Garcia YM AU - Mata KE AU - Banal RAR AU - Ang IC AU - Chu WT AU - Cortez DMA PY - 2026 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics16101574 UR - https://doi.org/10.3390/diagnostics16101574 ER -
APA
EF, B., ET, M., 3rd, S. H., YM, G., KE, M., RAR, B., IC, A., WT, C., & DMA, C. (2026). RNNet-MST: A ResNet-50 with Multi-Scale Transformer Blocks for Pulmonary Nodule Classification and Attention-Based Localization on Chest X-Ray Images.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16101574
Source records
- pubmed · retrieved 2026-09-27T12:41:36.761Z