Detection and evaluation of Keratoconus (corneal topography) by using the image classifier techniques

R. Kanimozhi, R. Gayathri

DOI: 10.1007/s00500-020-05255-2
Published: 2020-08-18
Container: Soft Computing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00500-020-05255-2,
  title = {Detection and evaluation of Keratoconus (corneal topography) by using the image classifier techniques},
  author = {R. Kanimozhi and R. Gayathri},
  year = {2020},
  journal = {Soft Computing},
  doi = {10.1007/s00500-020-05255-2},
  url = {https://doi.org/10.1007/s00500-020-05255-2}
}

RIS

TY  - JOUR
TI  - Detection and evaluation of Keratoconus (corneal topography) by using the image classifier techniques
AU  - R. Kanimozhi
AU  - R. Gayathri
PY  - 2020
JO  - Soft Computing
DO  - 10.1007/s00500-020-05255-2
UR  - https://doi.org/10.1007/s00500-020-05255-2
ER  -

APA

Kanimozhi, R., & Gayathri, R. (2020). Detection and evaluation of Keratoconus (corneal topography) by using the image classifier techniques. Soft Computing. https://doi.org/10.1007/s00500-020-05255-2

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crossref · retrieved 2026-09-25T03:34:18.803Z