Cervical Cancer Diagnosis Based on Multi-Domain Features Using Deep Learning Enhanced by Handcrafted Descriptors

Omneya Attallah

Open source

DOI: 10.3390/app13031916
Published: 2023-02-02
Container: Applied Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/app13031916,
  title = {Cervical Cancer Diagnosis Based on Multi-Domain Features Using Deep Learning Enhanced by Handcrafted Descriptors},
  author = {Omneya Attallah},
  year = {2023},
  journal = {Applied Sciences},
  doi = {10.3390/app13031916},
  url = {https://doi.org/10.3390/app13031916}
}

RIS

TY  - JOUR
TI  - Cervical Cancer Diagnosis Based on Multi-Domain Features Using Deep Learning Enhanced by Handcrafted Descriptors
AU  - Omneya Attallah
PY  - 2023
JO  - Applied Sciences
DO  - 10.3390/app13031916
UR  - https://doi.org/10.3390/app13031916
ER  -

APA

Attallah, O. (2023). Cervical Cancer Diagnosis Based on Multi-Domain Features Using Deep Learning Enhanced by Handcrafted Descriptors. Applied Sciences. https://doi.org/10.3390/app13031916

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crossref · retrieved 2026-11-06T16:32:29.667Z