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Month wise articles
Figures next to the month indicate the number of articles in that month
2021
April
[
4
]
March
[
7
]
February
[
3
]
January
[
6
]
2020
December
[
2
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November
[
5
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October
[
3
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September
[
2
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August
[
8
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July
[
4
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June
[
2
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May
[
1
]
April
[
3
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March
[
3
]
February
[
6
]
January
[
1
]
2019
December
[
6
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November
[
4
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September
[
4
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August
[
3
]
July
[
6
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June
[
1
]
May
[
2
]
April
[
6
]
March
[
3
]
February
[
4
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January
[
2
]
2018
December
[
10
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November
[
4
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October
[
3
]
September
[
4
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August
[
1
]
July
[
3
]
June
[
5
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May
[
4
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April
[
10
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March
[
2
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February
[
4
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2017
December
[
5
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November
[
4
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October
[
3
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September
[
9
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July
[
5
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June
[
2
]
May
[
4
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April
[
6
]
March
[
6
]
February
[
7
]
2016
December
[
7
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November
[
5
]
October
[
3
]
September
[
7
]
August
[
1
]
July
[
7
]
May
[
8
]
April
[
7
]
March
[
4
]
February
[
2
]
January
[
5
]
2015
November
[
4
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October
[
5
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September
[
5
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August
[
4
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July
[
3
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June
[
19
]
May
[
5
]
April
[
1
]
March
[
5
]
February
[
9
]
January
[
3
]
2014
November
[
2
]
October
[
5
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September
[
4
]
August
[
6
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July
[
8
]
June
[
1
]
May
[
3
]
March
[
8
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February
[
3
]
January
[
4
]
2013
December
[
5
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November
[
2
]
October
[
4
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September
[
4
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August
[
3
]
July
[
3
]
June
[
5
]
May
[
7
]
March
[
18
]
February
[
1
]
January
[
1
]
2012
December
[
6
]
November
[
1
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October
[
4
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September
[
4
]
August
[
7
]
July
[
2
]
June
[
1
]
May
[
2
]
April
[
7
]
March
[
6
]
February
[
7
]
January
[
13
]
2011
December
[
3
]
November
[
1
]
October
[
7
]
August
[
9
]
July
[
3
]
June
[
7
]
May
[
3
]
March
[
6
]
February
[
8
]
January
[
6
]
2010
December
[
4
]
November
[
1
]
October
[
6
]
September
[
1
]
August
[
6
]
July
[
6
]
May
[
5
]
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Research Article:
A vocabulary for the identification and delineation of teratoma tissue components in hematoxylin and eosin-stained samples
Ramamurthy Bhagavatula, Michael T McCann, Matthew Fickus, Carlos A Castro, John A Ozolek, Jelena Kovacevic
J Pathol Inform
2014, 5:19 (30 June 2014)
DOI
:10.4103/2153-3539.135606
PMID
:25191619
We propose a methodology for the design of features mimicking the visual cues used by pathologists when identifying tissues in hematoxylin and eosin (H&E)-stained samples.
Background:
H&E staining is the gold standard in clinical histology; it is cheap and universally used, producing a vast number of histopathological samples. While pathologists accurately and consistently identify tissues and their pathologies, it is a time-consuming and expensive task, establishing the need for automated algorithms for improved throughput and robustness.
Methods:
We use an iterative feedback process to design a histopathology vocabulary (HV), a concise set of features that mimic the visual cues used by pathologists, e.g. "cytoplasm color" or "nucleus density." These features are based in histology and understood by both pathologists and engineers. We compare our HV to several generic texture-feature sets in a pixel-level classification algorithm.
Results:
Results on delineating and identifying tissues in teratoma tumor samples validate our expert knowledge-based approach.
Conclusions:
The HV can be an effective tool for identifying and delineating teratoma components from images of H&E-stained tissue samples.
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© Journal of Pathology Informatics | Published by Wolters Kluwer -
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Online since 10
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March, 2010