We aim to give an insight into aspects of developing and deploying a deep learning algorithm to automate biomedical image analyses. We anonymize sensitive data from a medical archive system, attempt to replicate and further improve published methods, and scale out our algorithm to support large-scale analyses. Specifically, our contributions are described as follows. First, to anonymize and extract ...

This Master thesis covers the design and evaluation of a multimedia content provider service. The design is scalable, both by means of storage, bandwidth and user count. To make the system stand out compared to competitors, there has been added design elements like a recommendation engine and a user feedback system. The system has been named SCARF, which is an abbreviation for Scalable CAching ...

Diabetes Automata is a try of concept in the complex research-field of blood glucose simulation and prediction in experimental medical informatics, an experimental research project in software engineering combined with experimental health science. The project integrates together topics such as software system design and development, object-oriented programming, mobile application development, ...

It is still strangely difficult to backup and synchronize data. Cloud computing solves the problem by centralizing everything and letting someone else handle the backups. But what about situations with low connectivity or sensitive data? For this, software developers have an interesting distributed, decentralized, and partition-tolerant data storage system right at their fingertips: distributed ...

Nowadays people have many different personal devices, like laptops and tablets, that they use to access and process data. Very often it is desirable to access and process the same data on different devices without having to copy it from one device to another. Commercial cloud services provide good services for achieving this, but recent events, such as the Snowdon disclosures, have illustrated some ...

Robotics can be utilized more in emergency services, and a software platform for controlling many semi-autonomous can make it more alluring to use robots in this area. Using semi-autonomous robots can allow personnel to issue robots to perform complex task, without the need of extensive training, and it allows one person to control many robots alone. One challenging aspect of using robots in emergency ...

What today's browsers offer in customization, personalization and functionality can be improved. In this thesis a application, in the form of a chrome extension that extends a web browser's functionality, and that offers customization and personalization has been designed and implemented. The functions implemented in the extension simplifies the access and availability of information to the user ...

As technology advances, researchers in the natural sciences collect ever-increasing amounts of data. While computer science research often focuses on effective ways to perform computations on large data sets, the visualization of large data sets can be just as important for achieving new insights. Just as cluster computing enables scalable computation on large data sets, so can cluster-based display ...

Biological data is often visualized using networks. However, these networks face problems such as information overload, high interconnectivity, and high dimensionality. Existing approaches try to solve these problems by reducing the interactivity in favor of presenting more information or by using expensive hardware. This thesis aims to solve them using Virtual Reality (VR) and the Oculus Quest, an ...

Genomics is the study of the genomes of organisms. Metagenomics is the study of environmental genomic samples. For both genomics and metagenomics DNA sequencing, and the analysis of these sequences, is an important tool. This analysis is done through integration of sequence data with existing meta-data collections. Genomics is the study of the genomes of organisms, and involves cultivating organisms ...