Machine learning in breast cancer imaging: a review on data, models and methods

Grinet, Marco A. V. M.; Gouveia, Ana I. R.; Gomes, Abel J. P.

doi:10.1080/21681163.2024.2302387

Computer Methods in Biomechanics and Biomedical Engineering: Im

2024

DOI: 10.1080/21681163.2024.2302387

|View full text |Cite

Machine learning in breast cancer imaging: a review on data, models and methods

Marco A. V. M. Grinet,

Ana I. R. Gouveia,

Abel J. P. Gomes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 104 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Deep Learning ResNet-50 Framework for Automatic Early Breast Cancer Diagnosis

Ashwini,

Suji,

Prathaban

et al. 2024

2024 International Conference on Communication, Computing and Internet of Things (IC3IoT)

View full text Add to dashboard Cite

Deep Learning ResNet-50 Framework for Automatic Early Breast Cancer Diagnosis

Ashwini,

Suji,

Prathaban

et al. 2024

2024 International Conference on Communication, Computing and Internet of Things (IC3IoT)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Machine learning in breast cancer imaging: a review on data, models and methods

Cited by 1 publication

References 104 publications

Deep Learning ResNet-50 Framework for Automatic Early Breast Cancer Diagnosis

Deep Learning ResNet-50 Framework for Automatic Early Breast Cancer Diagnosis

Contact Info

Product

Resources

About