[HTML][HTML] Automated detection and classification of oral squamous cell carcinoma using deep neural networks

B Ananthakrishnan, A Shaik, S Kumar, SO Narendran… - Diagnostics, 2023 - mdpi.com
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …

Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks.

B Ananthakrishnan, A Shaik, S Kumar… - Diagnostics (2075 …, 2023 - search.ebscohost.com
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …

Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks

B Ananthakrishnan, A Shaik… - Diagnostics (Basel …, 2023 - pubmed.ncbi.nlm.nih.gov
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …

[HTML][HTML] Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks

B Ananthakrishnan, A Shaik, S Kumar, SO Narendran… - Diagnostics, 2023 - ncbi.nlm.nih.gov
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …

Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks

B Ananthakrishnan, A Shaik, S Kumar… - Diagnostics (Basel …, 2023 - europepmc.org
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …

Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks

B Ananthakrishnan, A Shaik, S Kumar… - …, 2023 - search.proquest.com
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …

Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks.

B Ananthakrishnan, A Shaik, S Kumar… - Diagnostics (Basel …, 2023 - europepmc.org
This work aims to classify normal and carcinogenic cells in the oral cavity using two different
approaches with an eye towards achieving high accuracy. The first approach extracts local …