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Gleason score:Score:Pt:Specimen:Ord
Known as:
Gleason score:Score:Point in time:Specimen:Ordinal
, Gleason, punteggio:Punteggio:Pt:Campione:Ord
, Gleason Score Spec Ql
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National Institutes of Health
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Related topics
Related topics
3 relations
Pathology procedure
Score
Specimen
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Epithelium segmentation and automated Gleason grading of prostate cancer via deep learning in label-free multiphoton microscopic images.
Qinqin Yang
,
Zhe-xin Xu
,
+8 authors
Xiaoqin Zhu
Journal of biophotonics
2019
Corpus ID: 207938587
In the current clinical care practice, Gleason grading system is one of the most powerful prognostic predictors for prostate…
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2018
2018
Integrating tertiary Gleason pattern 5 into the ISUP grading system improves prediction of biochemical recurrence in radical prostatectomy patients
M. Kato
,
A. Hirakawa
,
+14 authors
T. Tsuzuki
Modern Pathology
2018
Corpus ID: 52157112
Although the presence of tertiary Gleason pattern 5 is reportedly related to unfavorable prostate cancer characteristics, few…
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2018
2018
Incidence of Extraprostatic Extension at Radical Prostatectomy with Pure Gleason Score 3 + 3 = 6 (Grade Group 1) Cancer: Implications for Whether Gleason Score 6 Prostate Cancer Should be Renamed…
O. Hassan
,
M. Han
,
+6 authors
J. Epstein
The Journal of urology
2018
Corpus ID: 3560224
Purpose: We assessed the risk of locally aggressive behavior in pure Gleason score 6 (Grade Group 1) prostate cancer using…
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Highly Cited
2017
Highly Cited
2017
Targeted Biopsy to Detect Gleason Score Upgrading during Active Surveillance for Men with Low versus Intermediate Risk Prostate Cancer
N. Nassiri
,
D. Margolis
,
+4 authors
L. Marks
The Journal of urology
2017
Corpus ID: 40764591
Purpose: We sought to determine the rate of upgrading to Gleason score 4 + 3 or greater using targeted biopsy for diagnosis and…
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2017
2017
Automatic Gleason grading of prostate cancer using quantitative phase imaging and machine learning
T. Nguyen
,
S. Sridharan
,
+4 authors
G. Popescu
Journal of biomedical optics
2017
Corpus ID: 40569057
Abstract. We present an approach for automatic diagnosis of tissue biopsies. Our methodology consists of a quantitative phase…
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2016
2016
Microscopic medical image classification framework via deep learning and shearlet transform
Hadi Rezaeilouyeh
,
A. Mollahosseini
,
M. Mahoor
Journal of medical imaging
2016
Corpus ID: 1734230
Abstract. Cancer is the second leading cause of death in US after cardiovascular disease. Image-based computer-aided diagnosis…
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2015
2015
Exploring automatic prostate histopathology image gleason grading via local structure modeling
Daihou Wang
,
D. Foran
,
J. Ren
,
Hua Zhong
,
I. Kim
,
X. Qi
37th Annual International Conference of the IEEE…
2015
Corpus ID: 4631863
Gleason-grading of prostate cancer pathology specimens reveal the malignancy of the cancer tissues, thus provides critical…
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2012
2012
A new version of the Gleason-Kahane-Żelazko theorem in complete random normed algebras
Yuehan Tang
2012
Corpus ID: 54087425
In this article we first present the notion of multiplicative L0-linear function. Moreover, we establish a new version of the…
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Highly Cited
2006
Highly Cited
2006
A correlation of FTIR spectra derived from prostate cancer biopsies with gleason grade and tumour stage.
E. Gazi
,
M. Baker
,
+7 authors
M. Brown
European urology
2006
Corpus ID: 40179804
OBJECTIVES We introduce biochemistry as a second dimension to Gleason grading, using Fourier transform infrared (FTIR…
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Highly Cited
2002
Highly Cited
2002
Salvage cryotherapy for recurrent prostate cancer after radiotherapy: variables affecting patient outcome.
J. Izawa
,
L. Madsen
,
+4 authors
L. Pisters
Journal of clinical oncology : official journal…
2002
Corpus ID: 37882419
PURPOSE To determine the long-term disease-specific survival (DSS) and disease-free survival (DFS) rates after salvage…
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