Tumour parcellation and quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium

Mohammed M. Abdelsamea; Ruta B. Grineviciute; Justinas Besusparis; Sulayman Cham; Alain Pitiot; Arvydas Laurinavicius; Mohammad Ilyas

doi:10.1111/his.13838

Tumour parcellation and quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium

Mohammed M. Abdelsamea^*
, Ruta B. Grineviciute
, Justinas Besusparis
, Sulayman Cham
, Alain Pitiot
, Arvydas Laurinavicius
, Mohammad Ilyas

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Original language	English
Pages (from-to)	1045-1054
Number of pages	10
Journal	Histopathology
Volume	74
Issue number	7
DOIs	https://doi.org/10.1111/his.13838
Publication status	Published (VoR) - Jun 2019

Funding

The authors acknowledge financial support from the EC Marie Curie Actions, AIDPATH project (Contract no. 612471) and Nottingham Molecular Pathology Node (NMPN).

Keywords

biomarker analysis
colorectal cancer
image segmentation
machine learning
parcellation

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10.1111/his.13838

Cite this

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title = "Tumour parcellation and quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium",

keywords = "biomarker analysis, colorectal cancer, image segmentation, machine learning, parcellation",

author = "Abdelsamea, \{Mohammed M.\} and Grineviciute, \{Ruta B.\} and Justinas Besusparis and Sulayman Cham and Alain Pitiot and Arvydas Laurinavicius and Mohammad Ilyas",

note = "Funding Information: The authors acknowledge financial support from the EC Marie Curie Actions, AIDPATH project (Contract no. 612471) and Nottingham Molecular Pathology Node (NMPN). Publisher Copyright: {\textcopyright} 2019 John Wiley \& Sons Ltd",

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volume = "74",

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journal = "Histopathology",

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T2 - a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium

AU - Abdelsamea, Mohammed M.

AU - Grineviciute, Ruta B.

AU - Besusparis, Justinas

AU - Cham, Sulayman

AU - Pitiot, Alain

AU - Laurinavicius, Arvydas

AU - Ilyas, Mohammad

N1 - Funding Information: The authors acknowledge financial support from the EC Marie Curie Actions, AIDPATH project (Contract no. 612471) and Nottingham Molecular Pathology Node (NMPN). Publisher Copyright: © 2019 John Wiley & Sons Ltd

PY - 2019/6

Y1 - 2019/6

KW - biomarker analysis

KW - colorectal cancer

KW - image segmentation

KW - machine learning

KW - parcellation

UR - https://www.scopus.com/pages/publications/85065022132

UR - https://www.scopus.com/pages/publications/85065022132#tab=citedBy

U2 - 10.1111/his.13838

DO - 10.1111/his.13838

M3 - Article

C2 - 30735268

AN - SCOPUS:85065022132

SN - 0309-0167

VL - 74

SP - 1045

EP - 1054

JO - Histopathology

JF - Histopathology

IS - 7

ER -

Tumour parcellation and quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium

Funding

Keywords

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