BID-Net: An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning.

Agarwal P, Yadav A, Mathur P, Pal V, Chakrabarty A

DOI: 10.1155/2022/4357088
Published: 2022
Container: Computational intelligence and neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/4357088,
  title = {BID-Net: An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning.},
  author = {Agarwal P and Yadav A and Mathur P and Pal V and Chakrabarty A},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/4357088},
  url = {https://doi.org/10.1155/2022/4357088}
}

RIS

TY  - JOUR
TI  - BID-Net: An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning.
AU  - Agarwal P
AU  - Yadav A
AU  - Mathur P
AU  - Pal V
AU  - Chakrabarty A
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/4357088
UR  - https://doi.org/10.1155/2022/4357088
ER  -

APA

P, A., A, Y., P, M., V, P., & A, C. (2022). BID-Net: An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/4357088

Source records

pubmed · retrieved 2026-09-25T14:01:20.093Z
europe-pmc · retrieved 2026-09-25T14:01:20.107Z