A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer

Mohammed M. Abdelsamea; Alain Pitiot; Ruta Barbora Grineviciute; Justinas Besusparis; Arvydas Laurinavicius; Mohammad Ilyas

doi:10.1016/j.eswa.2018.10.030

A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer

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

^*Corresponding author for this work

University of Nottingham
Assiut University
Ilixa Ltd.
Vilnius University

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

30 Citations (SciVal)

Original language	English
Pages (from-to)	539-552
Number of pages	14
Journal	Expert Systems with Applications
Volume	118
DOIs	https://doi.org/10.1016/j.eswa.2018.10.030
Publication status	Published (VoR) - 15 Mar 2019

Funding

The authors acknowledge financial support from the EC Marie Curie Actions, AIDPATH project (Contract No.612471).

Keywords

Axis of least inertia
Colorectal cancer
Feature representation
Fuzzy pressure force
Histology
Machine learning
Neural network
Tissue classification

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10.1016/j.eswa.2018.10.030

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@article{a81ec43fc16149d8beac6eaf1153165d,

title = "A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer",

keywords = "Axis of least inertia, Colorectal cancer, Feature representation, Fuzzy pressure force, Histology, Machine learning, Neural network, Tissue classification",

author = "Abdelsamea, \{Mohammed M.\} and Alain Pitiot and Grineviciute, \{Ruta Barbora\} and Justinas Besusparis 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). Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",

year = "2019",

month = mar,

day = "15",

doi = "10.1016/j.eswa.2018.10.030",

language = "English",

volume = "118",

pages = "539--552",

journal = "Expert Systems with Applications",

issn = "0957-4174",

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TY - JOUR

T1 - A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer

AU - Abdelsamea, Mohammed M.

AU - Pitiot, Alain

AU - Grineviciute, Ruta Barbora

AU - Besusparis, Justinas

AU - Laurinavicius, Arvydas

AU - Ilyas, Mohammad

PY - 2019/3/15

Y1 - 2019/3/15

KW - Axis of least inertia

KW - Colorectal cancer

KW - Feature representation

KW - Fuzzy pressure force

KW - Histology

KW - Machine learning

KW - Neural network

KW - Tissue classification

UR - https://www.scopus.com/pages/publications/85055179274

UR - https://www.scopus.com/pages/publications/85055179274#tab=citedBy

U2 - 10.1016/j.eswa.2018.10.030

DO - 10.1016/j.eswa.2018.10.030

M3 - Article

AN - SCOPUS:85055179274

SN - 0957-4174

VL - 118

SP - 539

EP - 552

JO - Expert Systems with Applications

JF - Expert Systems with Applications

ER -

A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer

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Keywords

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