Deep Learning for Automatic Identification and Characterization of the Bleeding Potential of Enteric Protruding Lesions in Capsule Endoscopy

AuthID
P-017-7J6
8
Author(s)
Afonso, J
·
Mascarenhas, M
·
Ribeiro, T
·
Cardoso, H
·
Andrade, P
·
Saraiva, MM
·
Document Type
Article
Year published
2022
Published
in GASTRO HEP ADVANCES, ISSN: 2772-5723
Volume: 1, Issue: 5, Pages: 835-843 (9)
Indexing
Publication Identifiers
Pubmed: 39131843
Scopus: 2-s2.0-85168790430
Wos: WOS:001413372500025
Source Identifiers
ISSN: 2772-5723
Export Publication Metadata
Marked List
Citations
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.



CORE Conference
No information about CORE Rank

During the preprocessing phase, only publications of type 'Proceedings Paper' or 'Proceedings' are automatically processed to identify their CORE Rank.

TIP: If your publication's CORE Rank is missing, you can contact with your institutional manager to have the correct ranking manually added to the record.

Journal Factors
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

Info
At this moment we don't have any links to full text documens.