A spectroscopy-based machine learning framework on photoacoustic imaging data for automatic 3D delineation of melanoma tumors
The incidence of melanoma is rising, increasing the need for efficient diagnostics. Excisional biopsy and histopathology remain the “gold standard” but often require multiple surgical incisions due to limitations in making a visual assessment of melanoma borders either by eye or using dermatoscopy. This challenge partly arises from the inability to non-invasively produce the necessary spectral con