Photoacoustic Classification of Tumor Model Morphology Based on Support Vector Machine: A Simulation and Phantom Study

Precise classification to distinguish malignancy of tumors is of great significance to accomplish high specificity diagnosis and avert unnecessary biopsy. Photoacoustic tomography (PAT) is a burgeoning new imaging modality, which combines optical contrast and ultrasound penetrating in a deep medium. However, it has not been fully exploited on the capability of PAT to discriminate tumors malignancy...