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- Skoglund, Karin, 1980-, et al.
(författare)
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Annotations, ontologies, and whole slide images : Development of an annotated ontology-driven whole slide image library of normal and abnormal human tissue
- 2019
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Ingår i: Journal of Pathology Informatics. - : Medknow Publications. - 2229-5089 .- 2153-3539. ; 10:22
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Digital pathology is today a widely used technology, and the digitalization of microscopic slides into whole slide images (WSIs) allows the use of machine learning algorithms as a tool in the diagnostic process. In recent years, “deep learning” algorithms for image analysis have been applied to digital pathology with great success. The training of these algorithms requires a large volume of high-quality images and image annotations. These large image collections are a potent source of information, and to use and share the information, standardization of the content through a consistent terminology is essential. The aim of this project was to develop a pilot dataset of exhaustive annotated WSI of normal and abnormal human tissue and link the annotations to appropriate ontological information. Materials and Methods: Several biomedical ontologies and controlled vocabularies were investigated with the aim of selecting the most suitable ontology for this project. The selection criteria required an ontology that covered anatomical locations, histological subcompartments, histopathologic diagnoses, histopathologic terms, and generic terms such as normal, abnormal, and artifact. WSIs of normal and abnormal tissue from 50 colon resections and 69 skin excisions, diagnosed 2015-2016 at the Department of Clinical Pathology in Linköping, were randomly collected. These images were manually and exhaustively annotated at the level of major subcompartments, including normal or abnormal findings and artifacts. Results: Systemized nomenclature of medicine clinical terms (SNOMED CT) was chosen, and the annotations were linked to its codes and terms. Two hundred WSI were collected and annotated, resulting in 17,497 annotations, covering a total area of 302.19 cm2, equivalent to 107,7 gigapixels. Ninety-five unique SNOMED CT codes were used. The time taken to annotate a WSI varied from 45 s to over 360 min, a total time of approximately 360 h. Conclusion: This work resulted in a dataset of 200 exhaustive annotated WSIs of normal and abnormal tissue from the colon and skin, and it has informed plans to build a comprehensive library of annotated WSIs. SNOMED CT was found to be the best ontology for annotation labeling. This project also demonstrates the need for future development of annotation tools in order to make the annotation process more efficient.
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| 2. |
- Skoglund, Karin, 1980-, et al.
(författare)
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Colon data from the Visual Sweden project DROID
- 2019
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Annan publikationabstract
- The dataset consists of 101 H&E-stained colon whole slide images (WSI) - 52 abnormal and 49 benign cases. All significant abnormal findings identified are outlined and categorized into 15 types such as hyperplastic polyp, high grade adenocarcinoma and necrosis. Other tissue components such as mucosa, submucosa, as well as the surgical margin are delineated to create a complete histological map. In total, 756 separate annotations have been made to segment the different tissue structures and link them to ontological information.
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| 3. |
- Summer Meranius, Martina, 1971-, et al.
(författare)
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Paradoxes of person‐centred care : A discussion paper
- 2020
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Ingår i: Nursing Open. - : Wiley. - 2054-1058. ; 7:5, s. 1321-1329
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Forskningsöversikt (refereegranskat)abstract
- AIM: Previous research has mainly focused on the advantages of PCC and less on its disadvantages. Hence, there is a need to further explore the recent research regard-ing PCC from both sides. Therefore, the aim of this paper is to elucidate the advan-tages and disadvantages of PCC.DESIGN: Discussion paper.METHODS: We searched relevant literature published January 2000–March 2018 in PubMed, Medline, CHINAL, Scopus and Web of Science.RESULTS: The results showed that PCC can contribute to improved health and well-being, improved mutual interaction in relationships, improved cost-effectiveness and im-proved work environment, while the disadvantages can involve increased personal and financial costs, exclusion of certain groups, increased personal and financial costs, exclu-sion of staff's personhood and unfairness due to empathy. An analysis of the existing literature on PCC showed paradoxes, which call for further investigation.
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