Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.
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Current State of the Regulatory Trajectory for Whole Slide Imaging Devices in the USA.Impact of Altering Various Image Parameters on Human Epidermal Growth Factor Receptor 2 Image Analysis Data Quality.A Methodology for Texture Feature-based Quality Assessment in Nucleus Segmentation of Histopathology Image.Predicting and replacing the pathological Gleason grade with automated gland ring morphometric features from immunofluorescent prostate cancer images.Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site studyPredicting Advanced Prostate Cancer from Modeling Early Indications in Biopsy and Prostatectomy Samples via Transductive Semi-Supervised Survival AnalysisIdentifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings
P2860
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P2860
Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.
description
2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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name
Evaluating stability of histom ...... nosis from whole slide images.
@en
type
label
Evaluating stability of histom ...... nosis from whole slide images.
@en
prefLabel
Evaluating stability of histom ...... nosis from whole slide images.
@en
P2093
P2860
P356
P1476
Evaluating stability of histom ...... nosis from whole slide images.
@en
P2093
George Lee
Michael D Feldman
Natalie N C Shih
Patrick Leo
Robin Elliott
P2860
P304
P356
10.1117/1.JMI.3.4.047502
P577
2016-10-24T00:00:00Z