Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jenny Venton"'
Autor:
Alex Dexter, Dimitrios Tsikritsis, Natalie A. Belsey, Spencer A. Thomas, Jenny Venton, Josephine Bunch, Marina Romanchikova
Publikováno v:
Journal of Molecular Pathology, Vol 3, Iss 3, Pp 168-181 (2022)
Digital pathology is revolutionising the analysis of histological features and is becoming more and more widespread in both the clinic and research. Molecular pathology extends the tissue morphology information provided by conventional histopathology
Externí odkaz:
https://doaj.org/article/f13033b1294e4748a06c222097a58975
Autor:
Marina Romanchikova, Spencer Angus Thomas, Alex Dexter, Mike Shaw, Ignacio Partarrieau, Nadia Smith, Jenny Venton, Michael Adeogun, David Brettle, Robert James Turpin
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss , Pp 100157- (2022)
Background: Pathology services experienced a surge in demand during the COVID-19 pandemic. Digitalisation of pathology workflows can help to increase throughput, yet many existing digitalisation solutions use non-standardised workflows captured in pr
Externí odkaz:
https://doaj.org/article/c7ad0b43cb304806aad039b74861d302
Autor:
Jenny Venton, Philip J Aston
Publikováno v:
2021 Computing in Cardiology (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1279b776ab611b188e4c2e227f12ff9b
https://doi.org/10.23919/cinc53138.2021.9662862
https://doi.org/10.23919/cinc53138.2021.9662862
Publikováno v:
2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO).
Transfer learning offers a potentially valuable tool for detecting a pathological electrocardiogram (ECG) trace. Here, four separate methods of generating an image from a single ECG trace are presented. Transfer learning is used to train three deep n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db6d0d5b30b64d1884cd2edf21c23e6f
https://doi.org/10.1109/esgco49734.2020.9158037
https://doi.org/10.1109/esgco49734.2020.9158037
Publikováno v:
Integral Methods in Science and Engineering, Volume 2 ISBN: 9783319593869
Syringomyelia is a rare condition characterised by large fluid filled cavities in the spinal cord. Abnormal pressure changes in the cerebrospinal fluid (CSF) surrounding the cord are thought to contribute to cavity formation. A poroelastic mathematic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91b8b0c4493a284e03311d1203f48803
https://doi.org/10.1007/978-3-319-59387-6_27
https://doi.org/10.1007/978-3-319-59387-6_27
Publikováno v:
Physiological Measurement; Oct2018, Vol. 39 Issue 10, p1-1, 1p