Memory based active contour algorithm using pixel-level classified images for colon crypt segmentation
Improve classification accuracy using two-step pixel-level classification. Memory based active contour that is robust to pixel-level classification errors. Test 7180 crypts: 87% and 9% true and false positives, 96% segmentation accuracy. We believe this method is general and can be applied on glandular biopsies.
active contour colon crypts segmentation microscopy histology