MAM-E : Mammographic Synthetic Image Generation with Diffusion Models
MAM-E : Mammographic Synthetic Image Generation with Diffusion Models
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Generative models are used as an alternative data augmentation technique to alleviate the data scarcity problem faced in the medical imaging field. Diffusion models have gathered special attention due to their innovative generation approach, the high quality of the generated images, and their relatively less complex training process compared with G...
Alternative Titles
Full title
MAM-E : Mammographic Synthetic Image Generation with Diffusion Models
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_913cb7e69264445aacdf7a45e9cbcb19
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_913cb7e69264445aacdf7a45e9cbcb19
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24072076
