Prostate Segmentation in MR Images Using
Discriminant Boundary Features
Abstract— Prostate (i.e., gland located between the bladder and the penis) segmentation in magnetic resonance image i.e., technique used to image the body using discriminant boundary features. The prostate in magnetic resonance image has become more in need for its assistance to analysis and surgical planning of prostate carcinoma < Final Year Projects 2016 > Due to the natural variability of anatomical structures, statistical shape model has been widely applied. The scale invariant feature transformation (i.e., SIFT) has been employed to capture information of the local scraps surrounding the boundary (i.e., limit, Extend). However, when SIFT feature being used for segmentation the scale and variance are not speciﬁed, document-level sentiment classiﬁcation.