At the talk, Dr. Salehi demonstrated a study testing capabilities of a new feature-based classification algorithm using image processing and machine learning techniques specifically Artificial Neural Network (ANN) and Support Vector Machine (SVM) for early detection of pathologic changes in tissues. As a result, this algorithm can enable the clinicians to better understand the disease process and to detect changes in an early stage, which would result in more successful treatment outcome. Dr. Salehi’s talk was titled “Characterization of Human Oral Tissues Based on Quantitative Analysis of Optical Coherence Tomography Images.”
SPIE Photonics West
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