Adenocarcinoma Recognition in Endoscopy Images Using Optimized Convolutional Neural Networks
Adenocarcinoma Recognition in Endoscopy Images Using Optimized Convolutional Neural Networks
About this item
Full title
Author / Creator
Publisher
MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
MDPI AG
Subjects
More information
Scope and Contents
Contents
Colonoscopy, which refers to the endoscopic examination of colon using a camera, is considered as the most effective method for diagnosis of colorectal cancer. Colonoscopy is performed by a medical doctor who visually inspects one’s colon to find protruding or cancerous polyps. In some situations, these polyps are difficult to find by the human eye...
Alternative Titles
Full title
Adenocarcinoma Recognition in Endoscopy Images Using Optimized Convolutional Neural Networks
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d1ac4374f8fe4f7e953d9257a02395be
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d1ac4374f8fe4f7e953d9257a02395be
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app10051650
