Kajsa Møllersen er Norges beste forskningsformidler. Kompaktkamera, forstørrelsesglass og inspirasjon fra TV-serien CSI gjorde at Kajsa Møllersen stakk av med seieren i Forsker Grand Prix lørdag.

Kajsa Møllersen et al. Computer-aided decision support for melanoma detection applied on melanocytic and non-melanocytic skin lesions. A comparison of two systems based on automatic analysis of dermoscopic images. Also available in BioMed Research International, vol. 2015 (2015), Article ID 579282 (PDF)

kajsa.mollersen@uit.no. Add vcard to your contact list Kajsa Møllersen Førsteamanuensis, biostatistikk Institutt for samfunnsmedisin +4797783940 . kajsa.mollersen@uit.no. Legg visittkort i kontaktlisten din (vcard) Kajsa Møllersen During the last decades, the incidence rate of cutaneous malignant melanoma, a type of skin cancer developing from melanocytic skin lesions, has risen to alarmingly high levels. Kajsa Møllersen is a statistician with a postdoc position at UiT-Arctic University Norway.

2016-07-13 · Authors would like to thank Herbert Kirchesch and Kajsa Møllersen for providing images, Roman Stoklasa for classifier implementation, and Marius Pedersen for proofreading this paper. This research has been supported by the Research Council of Norway through project no. 247689 “IQ-MED: Image Quality enhancement in MEDical diagnosis, monitoring and treatment”. Surgeon's experience with the tension-free vaginal tape procedure is associated with the risk of bladder perforation and urinary retention, and may be associated with the long-term effectiveness of the procedure. The goal of this thesis is analyse the incidence rate of the first ever myocardial infarction (MI) and the survival time after the MI. The data used for this purpose is from the Troms\o{} study surveys collected in the period from 1974 to 2008. Kajsa Møllersen, 1 , * Herbert Kirchesch, 2 Maciel Zortea, 3 Thomas R. Schopf, 1 Kristian Hindberg, 3 and Fred Godtliebsen 3 Kajsa Møllersen 1 Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway, 9038 Tromsø, Norway 2018-03-12 · We have replicated some experiments in 'Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs' that was published in JAMA 2016; 316(22). We re-implemented the methods since the source code is not available.

Disputas - Master i statistikk Kajsa Møllersen . UiT The Arctic University of Norway

kajsa.mollersen@uit.no. Legg visittkort i kontaktlisten din (vcard) Tromsø . Enheten; Ansatte; Kajsa Møllersen Forskningsinteresser (1)Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North-Norway, Tromsø, Norway.

Kajsa Møllersen During the last decades, the incidence rate of cutaneous malignant melanoma, a type of skin cancer developing from melanocytic skin lesions, has risen to alarmingly high levels.

Email: kajsa.mollersen@telemed.no †Faculty of Computer Science and Media Technology Gjøvik University College, 2815 Gjøvik, Norway ‡Department of Mathematics and Statistics UiT The Arctic University of Norway, 9037 Tromsø, Norway Abstract—Melanoma is a deadly form of skin cancer which is difﬁcult to detect in its early stages. Europe PMC is an archive of life sciences journal literature. 1. Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North-Norway, Tromsø, Norway. kajsa.mollersen@telemed.no Kajsa Møllersen er Norges beste forskningsformidler.

In particular, I work on clustering methods, multiple instance learning and divergence measures. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Read Kajsa Møllersen's latest research, browse their coauthor's research, and play around with their algorithms Kajsa Mollersen's 3 research works with 1 citations and 155 reads, including: On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering On Data-Independent Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA. Hvordan kan føflekk-kreft diagnostiseres ved hjelp av statistikk og et kompaktkamera?
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The instances are most commonly regarded as a set of Contents: Towards a robust analysis of dermoscopy images acquired under different conditions / Catarina Barata, M. Emre Celebi, and Jorge S. Marques -- A bio-inspired colour representation for dermoscopy image analysis / Ali Madooei and Mark S. Drew -- Where's the lesion variability in human and automated segmentation of dermoscopy images of melanocytic skin lesions / Federica Bogo, Francesco Se Linda Berggrens profil på LinkedIn, världens största yrkesnätverk. Linda har angett 1 jobb i sin profil.
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In multi-instance (MI) learning, each object (bag) consists of multiple feature vectors (instances), and is most commonly regarded as a set of points in a multidimensional space. A different viewpoint is that the instances are realisations of random vectors with corresponding probability distribution, and that a bag is the distribution, not the realisations. In MI classification, each bag in

Samuel Ortega. * kajsa.mollersen@uit.no Abstract Melanoma is the deadliest form of skin cancer, and early detection is crucial for patient sur-vival.