Classical image processing vs. computer vision techniques in automated computer-assisted detection of follicles in ultrasound images of ovary

A complete understanding of follicle dynamics inside ovary is crucial for the field of genetic engineering. Monitoring follicles over entire cycle is especially important in human reproduction. In Gore et al. (see Human Reproduction, no.10, p.2313-19, 1995) is stated that the outcome of a pregnancy is dependent upon the quality of the embryo. This, in turn, is dependent in part upon the quality of the female gamete oocyte contained in the dominant follicle (dominant follicles are those that grow and have potential to ovulate at the end of the follicular phase) and, therefore, the quality of the follicle itself which supports oocyte growth and maturation. Not all dominant follicles ovulate and of those that do, not all are of sufficiently high quality to result in pregnancy.