Use of artificial intelligence tools for computational-aided diagnostics
type: CreativeWork
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.
abstract: 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: Berrones-Reyes, Mayra Cristina
language: en
keywords: Artificial Intelligence, Computer Vision, Bioengineering
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.
date published: 2023-06
date modified: 2026-07-24T01:00:53Z
provider: University of the Arts London
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of the Arts London