Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives.

Kundu S, Karale V, Ghorai G, Sarkar G, Ghosh S, Dhara AK

DOI: 10.1007/s10278-022-00629-4
Published: 2022 Oct
Container: Journal of digital imaging
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1007/s10278-022-00629-4,
  title = {Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives.},
  author = {Kundu S and Karale V and Ghorai G and Sarkar G and Ghosh S and Dhara AK},
  year = {2022},
  journal = {Journal of digital imaging},
  doi = {10.1007/s10278-022-00629-4},
  url = {https://doi.org/10.1007/s10278-022-00629-4}
}

RIS

TY  - JOUR
TI  - Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives.
AU  - Kundu S
AU  - Karale V
AU  - Ghorai G
AU  - Sarkar G
AU  - Ghosh S
AU  - Dhara AK
PY  - 2022
JO  - Journal of digital imaging
DO  - 10.1007/s10278-022-00629-4
UR  - https://doi.org/10.1007/s10278-022-00629-4
ER  -

APA

S, K., V, K., G, G., G, S., S, G., & AK, D. (2022). Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives.. Journal of digital imaging. https://doi.org/10.1007/s10278-022-00629-4

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pubmed · retrieved 2026-09-25T16:47:44.470Z