LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images
- DOI
- 10.1016/j.bspc.2026.109777
- Published
- 2025-03-24T02:41:53Z
- Container
- F. B. Tesema et al., "LGPS: A lightweight GAN-based approach for polyp segmentation in colonoscopy images," Biomedical Signal Processing and Control, vol. 118, 109777, 2026
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.bspc.2026.109777,
title = {LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images},
author = {Fiseha B. Tesema and Alejandro Guerra Manzanares and Tianxiang Cui and Qian Zhang and Moses Solomon and Sean He},
year = {2025},
journal = {F. B. Tesema et al., "LGPS: A lightweight GAN-based approach for polyp segmentation in colonoscopy images," Biomedical Signal Processing and Control, vol. 118, 109777, 2026},
doi = {10.1016/j.bspc.2026.109777},
url = {https://doi.org/10.1016/j.bspc.2026.109777}
}RIS
TY - JOUR TI - LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images AU - Fiseha B. Tesema AU - Alejandro Guerra Manzanares AU - Tianxiang Cui AU - Qian Zhang AU - Moses Solomon AU - Sean He PY - 2025 JO - F. B. Tesema et al., "LGPS: A lightweight GAN-based approach for polyp segmentation in colonoscopy images," Biomedical Signal Processing and Control, vol. 118, 109777, 2026 DO - 10.1016/j.bspc.2026.109777 UR - https://doi.org/10.1016/j.bspc.2026.109777 ER -
APA
Tesema, F. B., Manzanares, A. G., Cui, T., Zhang, Q., Solomon, M., & He, S. (2025). LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images. F. B. Tesema et al., "LGPS: A lightweight GAN-based approach for polyp segmentation in colonoscopy images," Biomedical Signal Processing and Control, vol. 118, 109777, 2026. https://doi.org/10.1016/j.bspc.2026.109777
Source records
- arxiv · retrieved 2026-09-25T06:24:46.602Z