Pancreas++: automated quantification of pancreatic islet cells in microscopy images.
about
Stereological analyses of the whole human pancreas.A supervised learning framework for pancreatic islet segmentation with multi-scale color-texture features and rolling guidance filtersBiphasic decline of β-cell function with age in euglycemic nonobese diabetic mice parallels diabetes onsetGIT2 Acts as a Systems-Level Coordinator of Neurometabolic Activity and Pathophysiological Aging.Absence of cannabinoid 1 receptor in beta cells protects against high-fat/high-sugar diet-induced beta cell dysfunction and inflammation in murine islets.
P2860
Pancreas++: automated quantification of pancreatic islet cells in microscopy images.
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
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2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
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name
Pancreas++: automated quantification of pancreatic islet cells in microscopy images.
@ast
Pancreas++: automated quantification of pancreatic islet cells in microscopy images.
@en
type
label
Pancreas++: automated quantification of pancreatic islet cells in microscopy images.
@ast
Pancreas++: automated quantification of pancreatic islet cells in microscopy images.
@en
prefLabel
Pancreas++: automated quantification of pancreatic islet cells in microscopy images.
@ast
Pancreas++: automated quantification of pancreatic islet cells in microscopy images.
@en
P2093
P2860
P356
P1476
Pancreas++: automated quantification of pancreatic islet cells in microscopy images
@en
P2093
Bronwen Martin
Hongyu Chen
Jennifer L Fiori
Sana Siddiqui
Stuart Maudsley
P2860
P356
10.3389/FPHYS.2012.00482
P577
2012-01-01T00:00:00Z