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MIAP – Web-based platform for the computer analysis of microscopic images to support the pathological diagnosis

Markiewicz T., Korzynska A., Kowalski A., Swiderska-Chadaj Z., Murawski P., Grala B., Lorent M., Wdowiak M., Zak J., Roszkowiak L., Kozlowski W., Pijanowska D.

Biocybernetics and Biomedical Engineering

2016

Vol. 36, no. 4

597--609

The aim of the project is to design and to implement a web-based platform for the computer analysis of microscopic images which support the pathological diagnosis. The use of the platform will be free of charge. It offers: quantitative analysis of staining tissue sample' images, archiving microscopic images, peer consultation, and join work independently from distance between scientific collaborating centers to registered doctors, scientists and students. The use of proposed platform allows: (i) to save pathologists' time spend on quantitative analysis, (ii) to reduce consulting costs by replacing sending of the physical preparations by placing their images (mostly virtual slide) on the platform server, (iii) to increase reproducibility, comparability and objectivity of quantitative evaluations. These effects have a direct impact on improving the effectiveness and decreasing the costs of patients' treatment. This paper presents the main ideas of the project which deliver web-based system working as multi-functional, integrated, modular and scalable computer system. The details of hardware solutions, concept of the workflow in the platform, the programming language and interpreters, the specific tools and algorithms, and the user interfaces are described below. The practical solutions for web-based services in the area of medical image analysis, storage and retrieval are also presented and discussed.

Service Recommendation on Wiki-WS Platform

Sobecki A.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2015

Vol. 19, No 4

445--453

The article presents the issues of recommendation services for users. The commonly used solutions shown include known classes of recommendation systems and information about their area of use and the most frequently used algorithms. The issue of choosing the services has been described based on the Wiki-WS platform including a model of cooperation with the recommendation system. The conclusion from the analysis of the proposed model and available algorithms is that there is a need to create a hybrid service recommendation algorithm in order to fulfill the requirements of those using a service platform like Wiki-WS.