| 1. |
- Paoli, John, 1975, et al.
(författare)
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Hyperspectral Imaging for Non-invasive Diagnostics of Melanocytic Lesions.
- 2022
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Ingår i: Acta dermato-venereologica. - : Medical Journals Sweden AB. - 1651-2057 .- 0001-5555. ; 102
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Tidskriftsartikel (refereegranskat)abstract
- Malignant melanoma poses a clinical diagnostic problem, since a large number of benign lesions are excised to find a single melanoma. This study assessed the accuracy of a novel non-invasive diagnostic technology, hyperspectral imaging, for melanoma detection. Lesions were imaged prior to excision and histopathological analysis. A deep neural network algorithm was trained twice to distinguish between histopathologically verified malignant and benign melanocytic lesions and to classify the separate subgroups. Furthermore, 2 different approaches were used: a majority vote classification and a pixel-wise classification. The study included 325 lesions from 285 patients. Of these, 74 were invasive melanoma, 88 melanoma in situ, 115 dysplastic naevi, and 48 non-dysplastic naevi. The study included a training set of 358,800 pixels and a validation set of 7,313 pixels, which was then tested with a training set of 24,375 pixels. The majority vote classification achieved high overall sensitivity of 95% and a specificity of 92% (95% confidence interval (95% CI) 0.024-0.029) in differentiating malignant from benign lesions. In the pixel-wise classification, the overall sensitivity and specificity were both 82% (95% CI 0.005-0.005). When divided into 4 subgroups, the diagnostic accuracy was lower. Hyperspectral imaging provides high sensitivity and specificity in distinguishing between naevi and melanoma. This novel method still needs further validation.
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| 2. |
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| 3. |
- Pölönen, Janne, et al.
(författare)
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Historical Bibliometrics Using Google Scholar : The Case of Roman Law, 1727–2016
- 2020
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Ingår i: Journal of Data and Information Science. - : Walter de Gruyter GmbH. - 2543-683X. ; 5:3, s. 18-32
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: The purpose of this study is to investigate the historical and linguistic coverage of Google Scholar, using publications in the field of Roman law as an example.Design/methodology/approach: To create a dataset of Roman law publications, we retrieved a total of 21,300 records of publications, published between years 1500 and 2016, with title including words denoting “Roman law” in English, French, German, Italian, and Spanish.Findings: We were able to find publications dating back to 1727. The largest number of publications and authors date to the late 19th century, and this peak might be explained by the role of Roman law in French legal education at the time. Furthermore, we found a exceptionally skewed concentration of publications to authors, as well as of citations to publications. We speculate that this could be explained by the long time-frame of the study, and the importance of classic works.Research limitation: Major limitations, and potential future work, relate to data quality, and cleaning, disambiguation of publications and authors, as well as comparing coverage with other data sources.Practical implications: We find Google Scholar to be a promising data source for historical bibliometrics. This approach may help bridge the gap between bibliometrics and the “digital humanities”.Originality/value: Earlier studies have focused mainly on Google Scholar’s coverage of publications and citations in general, or in specific fields. The historical coverage has,however, received less attention.
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| 4. |
- Räsänen, Janne, et al.
(författare)
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Hyperspectral Imaging Reveals Spectral Differences and Can Distinguish Malignant Melanoma from Pigmented Basal Cell Carcinomas: A Pilot Study.
- 2021
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Ingår i: Acta dermato-venereologica. - : Medical Journals Sweden AB. - 0001-5555 .- 1651-2057. ; 1010001-5555:2
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Tidskriftsartikel (refereegranskat)abstract
- Pigmented basal cell carcinomas can be difficult to distinguish from melanocytic tumours. Hyperspectral imaging is a non-invasive imaging technique that measures the reflectance spectra of skin in vivo. The aim of this prospective pilot study was to use a convolutional neural network classifier in hyperspectral images for differential diagnosis between pigment-ed basal cell carcinomas and melanoma. A total of 26 pigmented lesions (10 pigmented basal cell carcinomas, 12 melanomas in situ, 4 invasive melanomas) were imaged with hyperspectral imaging and excised for histopatho-logical diagnosis. For 2-class classifier (melano-cytic tumours vs pigmented basal cell carcinomas) using the majority of the pixels to predict the class of the whole lesion, the results showed a sensitivity of 100% (95% confidence interval 81-100%), specificity of 90% (95% confidence interval 60-98%) and positive predictive value of 94% (95% confidence interval 73-99%). These results indicate that a convolutional neural network classifier can differentiate melanocytic tumours from pigmented basal cell carcinomas in hyperspectral images. Further studies are warranted in order to confirm these preliminary results, using larger samples and multiple tumour types, including all types of melanocytic lesions.
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| 5. |
- Sīle, Linda, et al.
(författare)
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Comprehensiveness of national bibliographic databases for social sciences and humanities: Findings from a European survey
- 2018
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Ingår i: Research Evaluation. - : Oxford University Press (OUP). - 0958-2029 .- 1471-5449. ; 1:13
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Tidskriftsartikel (refereegranskat)abstract
- This article provides an overview of national bibliographic databases that include data on research output within social sciences and humanities (SSH) in Europe. We focus on the comprehensiveness of the database content. Compared to the data from commercial databases such as Web of Science and Scopus, data from national bibliographic databases (e.g. Flemish Academic Bibliographic Database for the SSH (VABB-SHW) in Belgium, Current Research Information System in Norway (CRISTIN)) are more comprehensive and may, therefore, be better fit for bibliometric analyses. Acknowledging this, several countries within Europe maintain national bibliographic databases; detailed and comparative information about their content, however, has been limited. In autumn 2016, we launched a survey to acquire an overview of national bibliographic databases for SSH in Europe and Israel. Surveying 41 countries (responses received from 39 countries), we identified 21 national bibliographic databases for SSH. Further, we acquired a more detailed description of 13 databases, with a focus on their comprehensiveness. Findings indicate that even though the content of national bibliographic databases is diverse, it is possible to delineate a subset that is similar across databases. At the same time, it is apparent that differences in national bibliographic databases are often bound to differences in country-specific arrangements. Considering this, we highlight implications to bibliometric analyses based on data from national bibliographic databases and outline several aspects that may be taken into account in the development of existing national bibliographic databases for SSH or the design of new ones.
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