A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's...
A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks
About this item
Full title
Author / Creator
Hussein, Mohamed , González‐Bueno Puyal, Juana , Lines, David , Sehgal, Vinay , Toth, Daniel , Ahmad, Omer F. , Kader, Rawen , Everson, Martin , Lipman, Gideon , Fernandez‐Sordo, Jacobo Ortiz , Ragunath, Krish , Esteban, Jose Miguel , Bisschops, Raf , Banks, Matthew , Haefner, Michael , Mountney, Peter , Stoyanov, Danail , Lovat, Laurence B. and Haidry, Rehan
Publisher
England: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
England: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
Background and aims
Seattle protocol biopsies for Barrett's Esophagus (BE) surveillance are labour intensive with low compliance. Dysplasia detection rates vary, leading to missed lesions. This can potentially be offset with computer aided detection. We have developed convolutional neural networks (CNNs) to identify areas of dysplasia and where...
Alternative Titles
Full title
A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks
Authors, Artists and Contributors
Author / Creator
González‐Bueno Puyal, Juana
Lines, David
Sehgal, Vinay
Toth, Daniel
Ahmad, Omer F.
Kader, Rawen
Everson, Martin
Lipman, Gideon
Fernandez‐Sordo, Jacobo Ortiz
Ragunath, Krish
Esteban, Jose Miguel
Bisschops, Raf
Banks, Matthew
Haefner, Michael
Mountney, Peter
Stoyanov, Danail
Lovat, Laurence B.
Haidry, Rehan
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9278593
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9278593
Other Identifiers
ISSN
2050-6406
E-ISSN
2050-6414
DOI
10.1002/ueg2.12233
