1,720,987 research outputs found
Deep learning framework for classification of neuroendocrine neoplasm whole slide images
No full textNeuroendocrine neoplasms (NENs) are uncommon neoplasms, which can arise in cells across the body. The last few decades have seen NEN incidence increase by 7-fold. NEN grades are morphologically indistinguishable for well-differentiated tumours and are determined from the tumour proliferation. Cell proliferation is defined by the number of mitotic figures in a 2mm² area for H&E slides and by the percent of Ki-67 positive cells in Ki-67 slides. Unfortunately, these measures suffer inter- and intra-observer variability, and are cumbersome to quantify. We developed a novel machine learning framework to identify candidate mitotic figures in H&E images, calculate the Ki-67 index in Ki-67 images, and aggregate proliferating features to grade NENs. Our work included 186 gastroenteropancreatic NENs with 385 samples from across British Columbia with two different stains (247 H&E and 138 Ki-67 images) and patient-level labels for grade. The H&E portion of the framework achieved a balanced accuracy of 72.1% across 6-folds for three-class classification (G1, G2, G3). We demonstrated that the survival outcomes for computer assigned grades are comparable to those based on pathologist assessment, with c-index values of 0.63 and 0.64, respectively. Our Ki-67 algorithm achieves a balanced accuracy of 83.9% to predict the grade of Ki-67 slides. With Ki-67 added to our pipeline, grading improves the balanced accuracy to 78.5%. Analysis of the survival outcome for pathologist assessed G1s demonstrated significant (p-value=0.01) separation amongst samples the algorithm assigned to a higher grade (n=27; median survival 4.63 years) compared to concordant G1 samples (n=55; median survival 10.13 years). By identifying both mitotic figures and Ki-67 positive cells, our method may provide a tool to verify hot-spots in both H&E and Ki-67 slides for further analysis of grades. Misclassified G1 patients have lower median survival, and further analysis is needed to determine if this group should be considered a different clinical entity and if our machine learning approach has identified two distinct populations within the grade 1 group.Applied Science, Faculty ofBiomedical Engineering, School ofGraduat
Development of biomarkers for colorectal cancer : transverse colon primary tumor location and circulating tumor DNA for molecular residual disease
No full textThe full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.Medicine, Faculty ofMedicine, Department ofGraduat
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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