Histopathologic oral cancer prediction using oral squamous cell carcinoma biopsy empowered with transfer learning

HIGHLIGHTS

• who: Atta-ur Rahman and collaborators from the Department of Computer Science (CS), College of Computer Science and Information (CCSIT), Faisal University (IAU), POBox, Dammam, Saudi Arabia have published the research: Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning, in the Journal: Sensors 2022, 22, 3833. of /2022/
• what: The focus of this Convolutional Neural_Network is on the search for quotations, pictures, training, data, and evaluation . In this study transfer learning empowered model is proposed, which extract features and train on OSCC biopsy data to predict oral cancer. The . . .
  

   

  

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