A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease
- DOI
- 10.1109/conecct50063.2020.9198447
- Published
- 2020-07
- Container
- 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/conecct50063.2020.9198447,
title = {A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease},
author = {Sayan Putatunda},
year = {2020},
journal = {2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)},
doi = {10.1109/conecct50063.2020.9198447},
url = {https://doi.org/10.1109/conecct50063.2020.9198447}
}RIS
TY - JOUR TI - A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease AU - Sayan Putatunda PY - 2020 JO - 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) DO - 10.1109/conecct50063.2020.9198447 UR - https://doi.org/10.1109/conecct50063.2020.9198447 ER -
APA
Putatunda, S. (2020). A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease. 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). https://doi.org/10.1109/conecct50063.2020.9198447
Source records
- crossref · retrieved 2026-11-10T14:45:06.307Z