Real-time thermography for breast cancer detection with deep learning
Real-time thermography for breast cancer detection with deep learning
About this item
Full title
Author / Creator
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
Subjects
More information
Scope and Contents
Contents
In this study, we propose a framework that enhances breast cancer classification accuracy by preserving spatial features and leveraging in situ cooling support. The framework utilizes real-time thermography video streaming for early breast cancer detection using Deep Learning models. Inception v3, Inception v4, and a modified Inception Mv4 were dev...
Alternative Titles
Full title
Real-time thermography for breast cancer detection with deep learning
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_4bfc7dd94d614e23a18e06a356c3fd29
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bfc7dd94d614e23a18e06a356c3fd29
Other Identifiers
ISSN
2731-0809
E-ISSN
2731-0809
DOI
10.1007/s44163-024-00157-w
