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University of the Arts London

Use of artificial intelligence tools for computational-aided diagnostics

Abstract

dc:description

Combining deep learning with traditional machine learning in an ensemble approach will enhance breast cancer detection accuracy from previously designed deep learning models in mammogram images, maintaining manageable computational demands. This hybrid model is expected to offer a scalable and computational-friendly solution for medical imaging.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Berrones-Reyes, Mayra Cristina

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • cc_by_nc_nd
Language dc:language
en

Identifiers

dc:identifier.*
Identifier
Berrones-Reyes, Mayra Cristina <https://ualresearchonline.arts.ac.uk/view/creators/Berrones-Reyes=3AMayra_Cristina=3A=3A.html> (2023) Use of artificial intelligence tools for computational-aided diagnostics. PhD thesis, Autonomus University of Nuevo Leon.
OAI identifier oai:identifier
oai:ualresearchonline.arts.ac.uk:23569

Chain of custody

source
Harvested from
University of the Arts London
Base URL
ualresearchonline.arts.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Berrones-Reyes, Mayra Cristina. Use of artificial intelligence tools for computational-aided diagnostics. 2023.