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Multiclass Segmentation of Breast Tissue and Suspicious Findings: A Simulation-Based Study for the Development of Self-Steering Tomosynthesis

Tomography(2023)10.3390/tomography9030092Source: DataRank Database

Multiclass Segmentation of Breast Tissue and Suspicious Findings: A Simulation-Based Study for the Development of Self-Steering Tomosynthesis is a research paper published in Tomography (2023). On theSindex it has a DataRank of 0.

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Enrichment:Funding (4 grants)OA: goldTopics (30)IDs (PubMed)

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Authors (9)

Yann N. G. da Nobrega,Giulia Carvalhal ORCID,J. Pedro Teixeira ORCID,Telmo M. Silva Filho ORCID,Thaís G. do Rêgo ORCID

Live enrichment

PubMed:37368544

Terri Brodeur Breast Cancer Foundation

Grant: W81XWH-18-1-0082

Terri Brodeur Breast Cancer Foundation

Grant: IRSA 1016451

Terri Brodeur Breast Cancer Foundation

Grant: P30CA016520

National Institutes of Health

Grant: 2P30CA016520-35

Abramson Cancer Center Support Grant

goldLicense: cc-by

publisherhttps://www.mdpi.com/2379-139X/9/3/92/pdf?version=1686379384

publisherhttps://www.mdpi.com/2379-139X/9/3/92/pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10303463/pdf/tomography-09-00092.pdf

repositoryhttps://doaj.org/article/79565ac9d3e1404fab0b9f00b404b905

https://doi.org/10.3390/tomography9030092

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineeringHumansFemaleMammographyCross-Sectional StudiesBreastBreast NeoplasmsImaging, Three-Dimensional

MeSH Terms

HumansFemaleMammographyCross-Sectional StudiesBreastBreast NeoplasmsImaging, Three-Dimensional

Keywords

virtual clinical trialsComputer applications to medicine. Medical informaticsR858-859.7digital breast tomosynthesisBreast Neoplasmsrisk stratificationartificial intelligenceArticleCross-Sectional StudiesImaging, Three-DimensionalHumansFemaleBreastMammography