Histological Image Feature Mining Reveals Emergent Diagnostic Properties for Renal Cancer.
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Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.Histological image classification using biologically interpretable shape-based featuresPathology imaging informatics for quantitative analysis of whole-slide imagesLocalization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study.
P2860
Histological Image Feature Mining Reveals Emergent Diagnostic Properties for Renal Cancer.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
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2011年學術文章
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2011年學術文章
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name
Histological Image Feature Min ...... c Properties for Renal Cancer.
@en
type
label
Histological Image Feature Min ...... c Properties for Renal Cancer.
@en
prefLabel
Histological Image Feature Min ...... c Properties for Renal Cancer.
@en
P2093
P2860
P356
P1476
Histological Image Feature Min ...... c Properties for Renal Cancer.
@en
P2093
Andrew N Young
John H Phan
May D Wang
Sonal Kothari
P2860
P304
P356
10.1109/BIBM.2011.112
P577
2011-11-01T00:00:00Z