Optical nature of different tissues results in characteristic response of LSCI signals.
Supervised learning of speckle statistics for characterization of wound progression is proposed.
Experiments are performed on cutaneous tumour wound of mice.
The framework can accurately track changes in structural and functional attributes of tissue in tumour wound region.
The clinical information is validated with immunohistochemistry result of the wound.
Quantitative analysis shows significant results in terms of sensitivity, specificity and ROC.