Autor: "Woerl, Ann-Christin" - Katalog zbiorów Biblioteki Wyższej Szkoły Bankowej we Wrocławiu

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Tytuł :: Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.
Autorzy :: Woerl AC; Institute of Pathology, University Medical Center Mainz, Mainz, Germany; Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Eckstein M; Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Geiger J; Institute of Pathology, University Medical Center Mainz, Mainz, Germany; Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Wagner DC; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Daher T; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Stenzel P; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Fernandez A; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Hartmann A; Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Wand M; Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Roth W; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Foersch S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany. Electronic address: .; Pokaż więcej
Źródło :: European urology [Eur Urol] 2020 Aug; Vol. 78 (2), pp. 256-264. Date of Electronic Publication: 2020 Apr 27.
Typ publikacji :: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :: Deep Learning*
Urinary Bladder Neoplasms/*classification
Urinary Bladder Neoplasms/*genetics
Forecasting ; Humans ; Molecular Diagnostic Techniques ; Neoplasm Invasiveness ; Urinary Bladder Neoplasms/diagnosis ; Urinary Bladder Neoplasms/pathology
: Czasopismo naukowe

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Skocz do pozycji: 2 2.

Tytuł :: Multimodal Deep Learning for Prognosis Prediction in Renal Cancer.
Autorzy :: Schulz S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Woerl AC; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.; Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Jungmann F; Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Glasner C; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Stenzel P; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Strobl S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Fernandez A; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Wagner DC; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Haferkamp A; Department of Urology and Pediatric Urology, University Medical Center Mainz, Mainz, Germany.
Mildenberger P; Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Roth W; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Foersch S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.; Pokaż więcej
Źródło :: Frontiers in oncology [Front Oncol] 2021 Nov 24; Vol. 11, pp. 788740. Date of Electronic Publication: 2021 Nov 24 (Print Publication: 2021).
Typ publikacji :: Journal Article
: Czasopismo naukowe

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