Artificial Intelligence for Oral Squamous Cell Carcinoma Detection
Raghav Herugu · Scholarly review . · 2023
This research paper investigates the potential of Artificial Intelligence (AI) techniques for the detection of Oral Squamous Cell Carcinoma (OSCC) using a Histopathological Image Dataset. Three different AI models were trained with varying levels of regularization and dropout layers using TensorFlow, an open-source software library for machine learning. The study found that AI-based techniques can achieve high levels of accuracy in the detection of OSCC, with one of the models achieving an accuracy of almost 90%. The use of regularization and dropout layers was found to improve the accuracy of the models. The results of this research demonstrate the potential of AI in improving the accuracy and speed of cancer detection, which could lead to earlier diagnosis and better treatment outcomes for patients. This research has implications for the development of diagnostic tools in the field of medical image analysis.