Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction.
- DOI
- 10.1016/j.media.2020.101897
- Published
- 2021 Feb
- Container
- Medical image analysis
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.media.2020.101897,
title = {Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction.},
author = {Qadir HA and Shin Y and Solhusvik J and Bergsland J and Aabakken L and Balasingham I},
year = {2021},
journal = {Medical image analysis},
doi = {10.1016/j.media.2020.101897},
url = {https://doi.org/10.1016/j.media.2020.101897}
}RIS
TY - JOUR TI - Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. AU - Qadir HA AU - Shin Y AU - Solhusvik J AU - Bergsland J AU - Aabakken L AU - Balasingham I PY - 2021 JO - Medical image analysis DO - 10.1016/j.media.2020.101897 UR - https://doi.org/10.1016/j.media.2020.101897 ER -
APA
HA, Q., Y, S., J, S., J, B., L, A., & I, B. (2021). Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction.. Medical image analysis. https://doi.org/10.1016/j.media.2020.101897
Source records
- pubmed · retrieved 2026-09-26T09:40:51.072Z