Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks

Shereen Fouad; Gabriel Landini; Max Robinson; Tzu Hsi Song; Hisham Mehanna

doi:10.1016/j.compmedimag.2021.101853

Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks

Shereen Fouad^*
, Gabriel Landini
, Max Robinson
, Tzu Hsi Song
, Hisham Mehanna

^*Corresponding author for this work

University of Birmingham
Newcastle University

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

12 Citations (SciVal)

Original language	English
Article number	101853
Journal	Computerized Medical Imaging and Graphics
Volume	88
DOIs	https://doi.org/10.1016/j.compmedimag.2021.101853
Publication status	Published (VoR) - Mar 2021

Funding

The research reported in this paper was supported by the Engineering and Physical Sciences Research Council ( EPSRC ), UK through funding under grant EP/M023869/1 ‘Novel context-based segmentation algorithms for intelligent microscopy.

Keywords

Deep learning
Histology
Human papilloma virus
In situ hybridisation
Machine learning

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10.1016/j.compmedimag.2021.101853

Cite this

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title = "Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks",

keywords = "Deep learning, Histology, Human papilloma virus, In situ hybridisation, Machine learning",

author = "Shereen Fouad and Gabriel Landini and Max Robinson and Song, \{Tzu Hsi\} and Hisham Mehanna",

note = "Funding Information: The research reported in this paper was supported by the Engineering and Physical Sciences Research Council ( EPSRC ), UK through funding under grant EP/M023869/1 {\textquoteleft}Novel context-based segmentation algorithms for intelligent microscopy. Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

year = "2021",

month = mar,

doi = "10.1016/j.compmedimag.2021.101853",

language = "English",

volume = "88",

journal = "Computerized Medical Imaging and Graphics",

issn = "0895-6111",

publisher = "Elsevier",

}

Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks. / Fouad, Shereen; Landini, Gabriel; Robinson, Max et al.
In: Computerized Medical Imaging and Graphics, Vol. 88, 101853, 03.2021.

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

TY - JOUR

T1 - Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks

AU - Fouad, Shereen

AU - Landini, Gabriel

AU - Robinson, Max

AU - Song, Tzu Hsi

AU - Mehanna, Hisham

N1 - Funding Information: The research reported in this paper was supported by the Engineering and Physical Sciences Research Council ( EPSRC ), UK through funding under grant EP/M023869/1 ‘Novel context-based segmentation algorithms for intelligent microscopy. Publisher Copyright: © 2021 Elsevier Ltd

PY - 2021/3

Y1 - 2021/3

KW - Deep learning

KW - Histology

KW - Human papilloma virus

KW - In situ hybridisation

KW - Machine learning

UR - https://www.scopus.com/pages/publications/85099873800

UR - https://www.scopus.com/pages/publications/85099873800#tab=citedBy

U2 - 10.1016/j.compmedimag.2021.101853

DO - 10.1016/j.compmedimag.2021.101853

M3 - Article

C2 - 33508566

AN - SCOPUS:85099873800

SN - 0895-6111

VL - 88

JO - Computerized Medical Imaging and Graphics

JF - Computerized Medical Imaging and Graphics

M1 - 101853

ER -

Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks

Funding

Keywords

Access to Document

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