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pro vyhledávání: '"Lampert Thomas"'
Autor:
Nisar, Zeeshan, Lampert, Thomas
Histopathology, the microscopic examination of tissue samples, is essential for disease diagnosis and prognosis. Accurate segmentation and identification of key regions in histopathology images are crucial for developing automated solutions. However,
Externí odkaz:
http://arxiv.org/abs/2412.15389
Publikováno v:
Journal of Health Monitoring, Vol 2, Iss 4, Pp 116-121 (2017)
Data on the prevalence of perceived exposure to hazardous working conditions were gathered for the GEDA 2014/2015-EHIS study using a simple graduated question. Approximately one-fifth of people in employment state that they face serious or very serio
Externí odkaz:
https://doaj.org/article/c00162223d794366ae184c9f02abb9a6
Virtual stain transfer is a promising area of research in Computational Pathology, which has a great potential to alleviate important limitations when applying deeplearningbased solutions such as lack of annotations and sensitivity to a domain shift.
Externí odkaz:
http://arxiv.org/abs/2210.09798
Publikováno v:
ISBI, 2022, pp. 1-5
Domain shift in digital histopathology can occur when different stains or scanners are used, during stain translation, etc. A deep neural network trained on source data may not generalise well to data that has undergone some domain shift. An importan
Externí odkaz:
http://arxiv.org/abs/2205.04368
It has been shown that unpaired image-to-image translation methods constrained by cycle-consistency hide the information necessary for accurate input reconstruction as imperceptible noise. We demonstrate that, when applied to histopathology data, thi
Externí odkaz:
http://arxiv.org/abs/2103.11362
The application of supervised deep learning methods in digital pathology is limited due to their sensitivity to domain shift. Digital Pathology is an area prone to high variability due to many sources, including the common practice of evaluating seve
Externí odkaz:
http://arxiv.org/abs/2012.12413
Autor:
Merveille, Odyssee, Lampert, Thomas, Schmitz, Jessica, Forestier, Germain, Feuerhake, Friedrich, Wemmert, Cédric
Objective: This article presents an automatic image processing framework to extract quantitative high-level information describing the micro-environment of glomeruli in consecutive whole slide images (WSIs) processed with different staining modalitie
Externí odkaz:
http://arxiv.org/abs/2008.13050
Publikováno v:
BMC Public Health, Vol 12, Iss 1, p 1079 (2012)
Abstract Background We investigated the associations between education and leisure-time, occupational, sedentary and total physical-activity levels based on data from the German National Health Interview and Examination Survey 1998 (GNHIES98). The ro
Externí odkaz:
https://doaj.org/article/9ed228335a884c039bf2a807e5cf39a7
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 8, Iss 1, p 119 (2011)
Abstract Background Physical activity (PA) shows a marked decline during adolescence. Some studies have pointed to pubertal status or timing as possible PA determinants in this age group. Furthermore, it was supposed that the impact of pubertal chang
Externí odkaz:
https://doaj.org/article/2aadc2cb4131445fbba6a630b555590f
Publikováno v:
In Pattern Recognition November 2023 143