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Wyświetlanie 1-3 z 3
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.
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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
Tytuł :
Deep learning for diagnosis and survival prediction in soft tissue sarcoma.
Autorzy :
Foersch S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany. Electronic address: .
Eckstein M; Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Wagner DC; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Gach F; 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.
Geiger J; Institute of Pathology, University Medical Center Mainz, Mainz, Germany; Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Glasner C; Institute of Pathology, University Medical Center Mainz, Mainz, Germany; Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany.
Schelbert S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Schulz S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Porubsky S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
Kreft 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.
Agaimy A; Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Roth W; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.
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Źródło :
Annals of oncology : official journal of the European Society for Medical Oncology [Ann Oncol] 2021 Sep; Vol. 32 (9), pp. 1178-1187. Date of Electronic Publication: 2021 Jun 15.
Typ publikacji :
Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't
MeSH Terms :
Deep Learning*
Sarcoma*/diagnosis
Soft Tissue Neoplasms*
Humans ; Prognosis ; Retrospective Studies
Czasopismo naukowe
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: .
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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
    Wyświetlanie 1-3 z 3

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