23. A computer-implemented method of segmenting images comprising the steps of: a. Receiving an image; b. Receiving at least one initial segmentation parameter; c. Receiving an initial segment in relation to the image from the at least one initial segmentation parameter; d. Receiving at least one segment feature in relation to the initial segment; e. Providing the at least one initial segmentation parameter and the at least one segment feature to a learning model, said learning model thereby generating a revised at least one segmentation parameter; f. Generating a revised segment from the revised at least one segmentation parameter; g. Displaying the image and the revised segment; h. Receiving observer feedback in relation to the revised segment to create a modified segment; i. Recalculating the at least one segmentation parameter from the modified segment; j. Updating the learning model from the recalculated at least one segmentation parameter, the at least one segment feature, and the at least one initial segmentation parameter.
24. A computer-implemented method of segmenting images according to claim 23 further comprising the steps of: a. Generating from the image at least one initial segmentation parameter; b. Generating an initial segment in relation to the image from the at least one segmentation parameter; and c. Generating at least one segment feature in relation to the initial segment.