| 1. |
- Bravo, L, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 2. |
- Tabiri, S, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 3. |
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| 4. |
- Glasbey, JC, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 5. |
- Niemi, MEK, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 6. |
- Kanai, M, et al.
(författare)
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- 2023
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swepub:Mat__t
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| 9. |
- Bivik Stadler, Caroline, 1986-, et al.
(författare)
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Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training
- 2021
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Ingår i: Journal of digital imaging. - : Springer-Verlag New York. - 0897-1889 .- 1618-727X. ; 34, s. 105-115
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Tidskriftsartikel (refereegranskat)abstract
- Artificial intelligence (AI) holds much promise for enabling highly desired imaging diagnostics improvements. One of the most limiting bottlenecks for the development of useful clinical-grade AI models is the lack of training data. One aspect is the large amount of cases needed and another is the necessity of high-quality ground truth annotation. The aim of the project was to establish and describe the construction of a database with substantial amounts of detail-annotated oncology imaging data from pathology and radiology. A specific objective was to be proactive, that is, to support undefined subsequent AI training across a wide range of tasks, such as detection, quantification, segmentation, and classification, which puts particular focus on the quality and generality of the annotations. The main outcome of this project was the database as such, with a collection of labeled image data from breast, ovary, skin, colon, skeleton, and liver. In addition, this effort also served as an exploration of best practices for further scalability of high-quality image collections, and a main contribution of the study was generic lessons learned regarding how to successfully organize efforts to construct medical imaging databases for AI training, summarized as eight guiding principles covering team, process, and execution aspects.
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| 10. |
- Brodin, Martin
(författare)
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Managing information security for mobile devices in small and medium-sized enterprises : Information management, Information security management, mobile device
- 2020
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The rapid proliferation of mobile devices makes mobile security a weak point in many organisations’ security management. Though there are a number of frameworks and methods available for improving security management, few of these target mobile devices, and most are designed for large organisations. Small and medium size organisations are known to be vulnerable to mobile threats, and often subject to the same legal requirements as larger organisations. However, they typically lack the resources and specialist competences necessary to use the available frameworks.This thesis describes an Action Design Research project to devise and test a low cost, low learning curve method for improving mobile security management. The project is conducted together with a small Swedish consulting company and evaluated in several other companies. In order to solve the challenge that SMEs faces; three objectives have been set:1. Identify existing solutions at a strategic level to managing information that is accessible with mobile devices and their suitability for SMEs.2. Develop a framework to support SMEs to manage information in a secure way on mobile devices.3. Evaluate the framework in practice.The results show that simple theoretical models can be integrated with well-known analysis techniques to inform managers and provide practical help for small companies to improve mobile security practice. The most important contribution to both science and practice is a structured approach for managers to deal with mobile devices, or for that matter other technology advances that do not fit into the existing management system. The journey to the final solution also produced several smaller contributions to science, for example insights from C-suites about strategies and work with mobile devices, differences and similarities between CYOD (choose your own device) and BYOD (bring your own device), the role of security policies in organisations, and twelve identified management issues with mobile devices.
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