Colorectal adenocarcinoma originating in intestinal glandular structures is * Corresponding authors Email addresses: k.sirinukunwattana@warwick.ac.uk (Korsuk Sirinukunwattana), n.m.rajpoot@warwick.ac.uk (Nasir M. Rajpoot)
Preprint submitted to Medical Image AnalysisAugust 30, 2016the most common form of colon cancer. In clinical practice, the morphology of intestinal glands, including architectural appearance and glandular formation, is used by pathologists to inform prognosis and plan the treatment of individual patients. However, achieving good inter-observer as well as intra-observer reproducibility of cancer grading is still a major challenge in modern pathology. An automated approach which quantifies the morphology of glands is a solution to the problem. This paper provides an overview to the Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) held at MICCAI'2015. Details of the challenge, including organization, dataset and evaluation criteria, are presented, along with the method descriptions and evaluation results from the top performing methods.
We describe a personal identity verification system based on lip dynamics biometric. The lip shape is represented in terms of a B-spline model, tracked over time. The coordinates of the 11 control points of the B-spline model are used as features for each frame. An utterance consisting of N frames produces a sequence of 22 dimensional feature vectors that is matched to the template using dynamic time warping. The verification error rate achived by the systems on the XM2VTS database is about 14%. By fusing the system with face and voice biometrics the error rate is reduced to a fractiopn of one percent.
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