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

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

25 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

Keywords

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

Access to Document

10.1016/j.eswa.2018.10.030

Cite this

@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",

publisher = "Elsevier",

}

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 - http://www.scopus.com/inward/record.url?scp=85055179274&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055179274&partnerID=8YFLogxK

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

Keywords

Access to Document

Other files and links

Fingerprint

Cite this