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Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models

Lecture Notes in Computer Science(2025)10.1007/978-3-031-77789-9_7Source: DataRank Database

Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models is a research paper published in Lecture Notes in Computer Science (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: closedTopics (14)IDs (PubMed, OpenAlex)

FAIR Checklist

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Findable (1/2)

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Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Mehdi Astaraki,Örjan Smedby ORCID,Rodrigo Moreno ORCID,Zhikai Yang

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4407425241

European Commission

Grant: 101073222

A comprehensive CAD system based on radiologic- and pathologic-image biomarkers for diagnosis and prognosis of breast cancer relapse

FWCI

0.00

Citation Percentile

0.0%

closedLicense: Springer Nature TDM

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-77789-9_7

book serieshttps://doi.org/10.1007/978-3-031-77789-9_7

http://dx.doi.org/10.1007/978-3-031-77789-9_7

Fields of Study

AI in cancer detectionAdvanced Image Processing TechniquesMedical Image Segmentation Techniques0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceGenerative grammarResolution (logic)Generative modelArtificial intelligenceImage synthesisPattern recognition (psychology)Computer visionImage (mathematics)