Review by urological pathologists improves the accuracy of Gleason grading by general pathologists
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2490
- 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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Review by urological pathologists improves the accuracy of Gleason grading by general pathologists ; volume:15 ; number:1 ; day:23 ; month:7 ; year:2015 ; pages:1-7 ; date:12.2015
BMC urology ; 15, Heft 1 (23.7.2015), 1-7, 12.2015
- Creator
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Nakai, Yasushi
- Contributor
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Tanaka, Nobumichi
Shimada, Keiji
Konishi, Noboru
Miyake, Makito
Anai, Satoshi
Fujimoto, Kiyohide
SpringerLink (Online service)
- DOI
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10.1186/s12894-015-0066-x
- URN
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urn:nbn:de:1111-2016110312193
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:02 AM CEST
Data provider
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Associated
- Nakai, Yasushi
- Tanaka, Nobumichi
- Shimada, Keiji
- Konishi, Noboru
- Miyake, Makito
- Anai, Satoshi
- Fujimoto, Kiyohide
- SpringerLink (Online service)
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Automated Gleason grading of prostate cancer tissue microarrays via deep learning
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Integrating tertiary Gleason pattern 5 into the ISUP grading system improves prediction of biochemical recurrence in radical prostatectomy patients
Bleb grading by photographs versus bleb grading by slit-lamp examination
Author correction : automated Gleason grading of prostate cancer tissue microarrays via deep learning
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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
Integrating tertiary Gleason pattern 5 into the ISUP grading system improves prediction of biochemical recurrence in radical prostatectomy patients
Bleb grading by photographs versus bleb grading by slit-lamp examination
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
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PCaseek: ultraspecific urinary tumor DNA detection using deep learning for prostate cancer diagnosis and Gleason grading
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