Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Eixelberger T"'
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 2, Pp 335-338 (2021)
For the image-based documentation of a colonoscopy procedure, a 3D-reconstuction of the hollow colon structure from endoscopic video streams is desirable. To obtain this reconstruction, 3D information about the colon has to be extracted from monocula
Autor:
Eixelberger Thomas, Maisch Philip, Kruck Stephan, Belle Sebastian, Kriegmair Maximilian, Bolenz Christian, Wittenberg Thomas
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 53-56 (2023)
Background: Bladder cancer (BCa) is the second most common genitourinary malignancy and has a mortality of 165,000 deaths p.a. The diagnosis of BCa is mostly carried out using cystoscopy - the visual examination of the urinary bladder with an endosco
Externí odkaz:
https://doaj.org/article/d842eafaafb74d899d5de48724e8af5b
Akademický článek
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Autor:
Kress Veronika, Wittenberg Thomas, Raithel Martin, Bruns Volker, Lehmann Edgar, Eixelberger Thomas, Hackner Ralf
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 321-324 (2022)
Introduction: In the field of colonoscopy results of automated or supporting procedures using medical image processing are often compromised by contaminants such as blood or stool, but also due to medical instruments. Such objects or contaminations o
Externí odkaz:
https://doaj.org/article/7dc2afdf653b45f6841f2195814bfe2c
Autor:
Eixelberger Thomas, Wolkenstein Gabriel, Hackner Ralf, Bruns Volker, Mühldorfer Steffen, Geissler Udo, Belle Sebastian, Wittenberg Thomas
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 277-280 (2022)
Introduction: Early detection of adenomas and polyps is one central goal of colonoscopic screening programs. As the adenoma detection rate (ADR) depends on the experience of the endoscopist, AI-based polyp detection systems can be used for real-time
Externí odkaz:
https://doaj.org/article/dc3f498a359a43ea8eea1e7f96da81ca
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 1, Pp 113-116 (2022)
When documenting colonoscopic examinations, the challenge arises, that the exact location of the detected lesions (such as polyps) can usually only be determined with low precision. In order to improve the image-based documentation of such lesions wi
Externí odkaz:
https://doaj.org/article/5d68f5639f934c2ca868df45f04da9ff
Autor:
Wittenberg Thomas, Benz Michaela, Foltyn Andreas, Hackner Ralf, Hetzel Julia, Wiesmann Veit, Eixelberger Thomas
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 2, Pp 515-518 (2021)
For the development, training, and validation of AIbased procedures, such as the analysis of clinical data, prediction of critical events, or planning of healthcare procedures, a lot of data is needed. In addition to this data of any origin (image da
Externí odkaz:
https://doaj.org/article/ce48cfe6ef6d492a992846f1749ef3e6
Autor:
Wittenberg Thomas, Stenzel Antonia, Wittenberg Amelie, Delius Stefan von, Raithel Martin, Eixelberger Thomas, Nowack Sebastian
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 145-149 (2021)
Currently, various AI-based systems for computerassisted adenoma- and polyp-detection during colonoscopy have been brought to the market and are under clinical investigation. With these systems available to be used during routine screening colonoscop
Externí odkaz:
https://doaj.org/article/13d3c68284c148b1ba76bccd78a1d9fc
Conference
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Akademický článek
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