Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer ; volume:13 ; number:1 ; day:30 ; month:10 ; year:2012 ; pages:1-15 ; date:12.2012
BMC bioinformatics ; 13, Heft 1 (30.10.2012), 1-15, 12.2012
- Creator
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Doyle, Scott
- Contributor
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Feldman, Michael D.
Shih, Natalie
Tomaszewski, John
Madabhushi, Anant
SpringerLink (Online service)
- DOI
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10.1186/1471-2105-13-282
- URN
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urn:nbn:de:1111-2016021734170
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Doyle, Scott
- Feldman, Michael D.
- Shih, Natalie
- Tomaszewski, John
- Madabhushi, Anant
- SpringerLink (Online service)
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Review by urological pathologists improves the accuracy of Gleason grading by general pathologists
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Ausmaß der Regression nach kurzzeitiger neoadjuvanter Antiandrogentherapie beim Prostatakarzinom : wann ist das Grading nach Gleason noch sinnvoll?
A comprehensive AI model development framework for consistent Gleason grading
Vergleich der prognostischen Relevanz zwischen dem Gleason-Grading und dem ISUP2014/WHO2016-Grading beim Prostatakarzinom
Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Review by urological pathologists improves the accuracy of Gleason grading by general pathologists
Author correction : automated Gleason grading of prostate cancer tissue microarrays via deep learning
Assessing the performance of deep learning for automated Gleason grading in prostate cancer
PCaseek: ultraspecific urinary tumor DNA detection using deep learning for prostate cancer diagnosis and Gleason grading
An international multi-institutional validation study of the algorithm for prostate cancer detection and Gleason grading
DNA-Zytophotometrie als Prognosefaktor bei Prostatakarzinom im Vergleich zu den üblichen Prognoseverfahren Grading, PSA und Gleason
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
Ausmaß der Regression nach kurzzeitiger neoadjuvanter Antiandrogentherapie beim Prostatakarzinom : wann ist das Grading nach Gleason noch sinnvoll?
A comprehensive AI model development framework for consistent Gleason grading
Vergleich der prognostischen Relevanz zwischen dem Gleason-Grading und dem ISUP2014/WHO2016-Grading beim Prostatakarzinom
Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Review by urological pathologists improves the accuracy of Gleason grading by general pathologists
Author correction : automated Gleason grading of prostate cancer tissue microarrays via deep learning
Assessing the performance of deep learning for automated Gleason grading in prostate cancer
PCaseek: ultraspecific urinary tumor DNA detection using deep learning for prostate cancer diagnosis and Gleason grading
An international multi-institutional validation study of the algorithm for prostate cancer detection and Gleason grading
DNA-Zytophotometrie als Prognosefaktor bei Prostatakarzinom im Vergleich zu den üblichen Prognoseverfahren Grading, PSA und Gleason
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images