Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network

DOI10.1016/J.NEUNET.2020.05.003zbMath1471.92174OpenAlexW3023485588WikidataQ94951532 ScholiaQ94951532MaRDI QIDQ1982424

Elima Hussain, Navarun Das, Lipi B. Mahanta

Publication date: 8 September 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.05.003

zbMATH Keywords

transfer learningdeep learningconvolution neural networkbiopsyoral squamous cell carcinoma

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Biomedical imaging and signal processing (92C55)

Related Items (2)

Multistage classification of oral histopathological images using improved residual network ⋮ Adversarial domain adaptation network for tumor image diagnosis

Uses Software

• ImageNet
• Adam
• AlexNet

Cites Work

• Unnamed Item

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