DEEP LEARNING BASED CLASSIFICATION OF INTRAPAPILLARY CAPILLARY LOOPS FOR DETECTION OF EARLY OESOPHAGEAL SQUAMOUS NEOPLASIA

Martin Everson; Luis Garcia Peraza Herrera; Wenqi Li; Imanol Luengo Muntion; Omer Ahmad; David Graham; Matthew Banks; Laurence Lovat; Tom Vercauteren; Seb Ourselin; Warren Wang; Rehan Haidry

doi:10.1136/gutjnl-2018-BSGAbstracts.19

DEEP LEARNING BASED CLASSIFICATION OF INTRAPAPILLARY CAPILLARY LOOPS FOR DETECTION OF EARLY OESOPHAGEAL SQUAMOUS NEOPLASIA

Martin Everson, Luis Garcia Peraza Herrera, Wenqi Li, Imanol Luengo Muntion, Omer Ahmad, David Graham, Matthew Banks, Laurence Lovat, Tom Vercauteren, Seb Ourselin, Warren Wang, Rehan Haidry

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Pages (from-to)	A10-A11
Journal	Gut
Volume	67
DOIs	https://doi.org/10.1136/gutjnl-2018-BSGAbstracts.19
Publication status	Published - Jun 2018

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10.1136/gutjnl-2018-BSGAbstracts.19

Cite this

@article{c39cf49040fc45aebe4792589aeae3e4,

title = "DEEP LEARNING BASED CLASSIFICATION OF INTRAPAPILLARY CAPILLARY LOOPS FOR DETECTION OF EARLY OESOPHAGEAL SQUAMOUS NEOPLASIA",

author = "Martin Everson and Herrera, {Luis Garcia Peraza} and Wenqi Li and Muntion, {Imanol Luengo} and Omer Ahmad and David Graham and Matthew Banks and Laurence Lovat and Tom Vercauteren and Seb Ourselin and Warren Wang and Rehan Haidry",

year = "2018",

month = jun,

doi = "10.1136/gutjnl-2018-BSGAbstracts.19",

language = "English",

volume = "67",

pages = "A10--A11",

journal = "Gut",

issn = "0017-5749",

publisher = "BMJ Publishing Group",

}

TY - JOUR

T1 - DEEP LEARNING BASED CLASSIFICATION OF INTRAPAPILLARY CAPILLARY LOOPS FOR DETECTION OF EARLY OESOPHAGEAL SQUAMOUS NEOPLASIA

AU - Everson, Martin

AU - Herrera, Luis Garcia Peraza

AU - Li, Wenqi

AU - Muntion, Imanol Luengo

AU - Ahmad, Omer

AU - Graham, David

AU - Banks, Matthew

AU - Lovat, Laurence

AU - Vercauteren, Tom

AU - Ourselin, Seb

AU - Wang, Warren

AU - Haidry, Rehan

PY - 2018/6

Y1 - 2018/6

U2 - 10.1136/gutjnl-2018-BSGAbstracts.19

DO - 10.1136/gutjnl-2018-BSGAbstracts.19

M3 - Meeting Abstract

SN - 0017-5749

VL - 67

SP - A10-A11

JO - Gut

JF - Gut

ER -