Research Article

Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis

Figure 8

Comparing segmentations from our PP model (left) and CRF model (right). Since the CRF model relaxes the assumption of pixel independence in the PP model, it is able to smooth over local discontinuities. The result is better segmentations which fill in “holes” and remove “noise.”
846312.fig.008a
(a)
846312.fig.008b
(b)
846312.fig.008c
(c)
846312.fig.008d
(d)
846312.fig.008e
(e)
846312.fig.008f
(f)