A comparative study on polyp classification using convolutional neural networks
A comparative study on polyp classification using convolutional neural networks
About this item
Full title
Author / Creator
Patel, Krushi , Li, Kaidong , Tao, Ke , Wang, Quan , Bansal, Ajay , Rastogi, Amit and Wang, Guanghui
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
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Scope and Contents
Contents
Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Most colorectal cancers start as a growth on the inner lining of the colon or rectum, called 'polyp'. Not all polyps are cancerous, but some can develop into cancer. Early detection and recognition of the type of polyps is critical to prevent can...
Alternative Titles
Full title
A comparative study on polyp classification using convolutional neural networks
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_plos_journals_2429056179
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2429056179
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0236452
