4,988 research outputs found
Anatomy-Aware Measurement of Segmentation Accuracy
Quantifying the accuracy of segmentation and manual delineation of organs,
tissue types and tumors in medical images is a necessary measurement that
suffers from multiple problems. One major shortcoming of all accuracy measures
is that they neglect the anatomical significance or relevance of different
zones within a given segment. Hence, existing accuracy metrics measure the
overlap of a given segment with a ground-truth without any anatomical
discrimination inside the segment. For instance, if we understand the rectal
wall or urethral sphincter as anatomical zones, then current accuracy measures
ignore their significance when they are applied to assess the quality of the
prostate gland segments. In this paper, we propose an anatomy-aware measurement
scheme for segmentation accuracy of medical images. The idea is to create a
``master gold'' based on a consensus shape containing not just the outline of
the segment but also the outlines of the internal zones if existent or
relevant. To apply this new approach to accuracy measurement, we introduce the
anatomy-aware extensions of both Dice coefficient and Jaccard index and
investigate their effect using 500 synthetic prostate ultrasound images with 20
different segments for each image. We show that through anatomy-sensitive
calculation of segmentation accuracy, namely by considering relevant anatomical
zones, not only the measurement of individual users can change but also the
ranking of users' segmentation skills may require reordering.Comment: To appear in SPIE Medical Imaging 201
Self-Configuring and Evolving Fuzzy Image Thresholding
Every segmentation algorithm has parameters that need to be adjusted in order
to achieve good results. Evolving fuzzy systems for adjustment of segmentation
parameters have been proposed recently (Evolving fuzzy image segmentation --
EFIS [1]. However, similar to any other algorithm, EFIS too suffers from a few
limitations when used in practice. As a major drawback, EFIS depends on
detection of the object of interest for feature calculation, a task that is
highly application-dependent. In this paper, a new version of EFIS is proposed
to overcome these limitations. The new EFIS, called self-configuring EFIS
(SC-EFIS), uses available training data to auto-configure the parameters that
are fixed in EFIS. As well, the proposed SC-EFIS relies on a feature selection
process that does not require the detection of a region of interest (ROI).Comment: To appear in proceedings of The 14th International Conference on
Machine Learning and Applications (IEEE ICMLA 2015), Miami, Florida, USA,
201
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People centric governance model: Conceptualizing the pillars of significance
This article explores corporate governance issue from the perspective of peoples’ governance. Using qualitative research approach, specifically, a grounded theory method, the paper explores the role of the pillar of significance in corporate governance practices. Interview was used as primary data, although document was also analysed. Analysis of the data revealed people centric governance is essential. Findings suggest that there are several pillar of significance in the corporations that provide strength to the corporate governance practices. Emerging theory suggests that the core of corporate governance lies on the people rather that the structure. The finding is useful as it impacted governance problem in such a way that the findings provides information that would enhance governance effectiveness in corporations. This study unlocked the perception that corporate governance flaws relate with corporate governance structure. This article offers originality and new insights in understudy of governance concept that commonly relate with economic perspective
Antimicrobial activities of marine fungi from Malaysia
Copyright 2011 Elsevier B.V., All rights reserved.Peer reviewedPublisher PD
Analisis Pelaksanaan Promosi Produk Beton Siap Pakai pada PT. Mitra Beton Mandiri Pekanbaru
Our is one of the elements from mix marketing (markeing mixed), besidethe determination selling, product, and distribution. Our very influential tocompany to achieve a maximum sales volume, because even though productsoffered is great, relatively cheap and easy to get, if not accompanied by our good,then the level sales would not suffice. Because the number of companies areengaged in that period, the company should be careful in order to carry out ourproducts concrete ready-to-use PT. Mitra Beton Mandiri Pekanbaru.Number of sample as many as 29 people, where population is used as amodel. The reason the taking of population as samples or use techniques censuselement because the population is relatively low. Results of research proceduresproduct promotion concrete ready to be used in PT. Mitra Beton MandiriPekanbaru in this advertising, sales private, publicity, our sales have done withgood.Key words : Promotion, the product Concrete ready-to-use, PT Mitra BetonMandiri Pekanbar
Analisis Pelaksanaan Bauran Promosi pada PT Jalur Nugraha Eka Kurir (Jne) Pekanbaru
The marketing strategy includes products/services, promotion, pricing and place. Promotion as one of the factors that may affect the interests of consumers, consisting of several alternative strategies, namely publicity, advertising, sales promotion and personal selling . PT . JNE has implemented a variety of ways with the publicity and promotion of personal selling to increase sales of services such as employee uniforms in order to make the company better known by the public. Other promotional strategy is to make the sticker affixed to the truck freight cars, put stickers on cargo ships, etc. This study aims to determine the promotional mix strategies of PT Jalurnugraha Eka Courier (JNE) Pekanbaru.The population of this research are the user of PT JNE Pekanbaru as many as 78 120 people . To take the sample is use the Slovin model, samples taken are 100 people with accidental sampling method . The data analysis using descriptive methods .The results showed that the promotion mix in PT JNE can be categorized Less Precise because of the 4 promotional mix that applied in the company, only publicity that has been applied correctly. Personal selling, of the three indicators used , no single indicator is applied properly by the company , so the personal selling in PT JNE Branch categorized Inappropriate. Publicity, of the three indicators used only two indicators were applied properly by the company, so the company implemented publicity Less Precise. Advertising , of the three indicators used , there is only one indicator that is applied with proper promotion through the internet. It concluded that the company implement inappropriate advertising. Sales promotion, of the three indicators used, none of the indicators were applied properly by the company, it means that sales promotion is Not Properly applied by the company
Pengaruh Customer Relationship Management Terhadap Tingkat Kepuasan Nasabah Pada PT. Bank Riau Kepri Cabang UTAMA Pekanbaru
The aim of this research is to analyze the implementation of Customer Relationship Management and customer satisfaction level of PT. Bank Riau Kepri Pekanbaru Main Branch and see its effects. Results of the study concluded that the implementation of CRM in PT. Bank Riau Kepri Pekanbaru Main Branch that includes indicators of people, processes and technology have been rated good overall. Customer satisfaction level of PT. Bank Riau Kepri Pekanbaru Main Branch that is seen from the indicator of product quality, service quality, price, and emotional costs are also rated it good. The results of data analysis through SPSS programs, CRM has a strong connection to the customers satisfaction level. CRM provide variable positive and significant influence on the customer satisfaction rate on variable PT. Bank Riau Kepri Pekanbaru Main Branch, which means that if the variable is improved then the CRM will also cause an increase of the customer satisfaction level.Keyword: customer relationship management, customer satisfaction rate, Bank Riau Kepr
Preliminary Testing for Normality: Is This a Good Practice?
Normality is a distributional requirement of classical test statistics. In order for the test statistic to provide valid results leading to sound and reliable conclusions this requirement must be satisfied. In the not too distant past, it was claimed that violations of normality would not likely jeopardize scientific findings (See Hsu & Feldt, 1969; Lunney, 1970). Recent revelations suggest otherwise (See e.g., Micceri, 1989; Keselman, Huberty, Lix et al., 1998; Erceg-Hurn, Wilcox, & Keselman, 2013; Wilcox and Keselman, 2003; Wilcox, 2012a, b). Unfortunately the data obtained in psychological investigations rarely, if ever, meet the requirement of normally distributed data (Micceri, 1989; Wilcox, 2012a, b). Consequently, it could be the case that the results from many of the investigations conducted in psychology provide invalid results. Accordingly, authors recommend that researchers attempt to assess the validity of assuming data are normal in form prior to conducting a test of significance (Erceg-Hurn, et al., 2013; Keselman, et al., 1998). Present evidence suggests that a popular fit-statistic, the Kolmogorov-Smirnov test does a poor job of evaluating whether data are normal. Our investigation based on this statistic and other fit-statistics provides a more favorable picture of preliminary testing for normality
Analyzing Group by Time Effects in Longitudinal Two-Group Randomized Trial Designs With Missing Data
We investigated bias, sampling variability, Type I error and power of nine approaches for testing the group by time interaction in a repeated measures design under three types of missing data mechanisms. One procedure due to Overall, Ahn, Shivakumar, and Kalburgi (1999) performed reasonably well over a range of conditions
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