Synthetic Histopathological Images Generation with Artificial Intelligence to Accelerate Research and Improve Clinical Outcomes in Hematology
Asti G, D'Amico S, Curti N, Carlini G, Sauta E, Derus N, Dall'Olio D, Sala C, Dall'Olio L, Lanino L, Maggioni G, Campagna A, Ubezio M, Russo A, Todisco G, Tentori C, Morandini P, Bicchieri M, Grondelli M, Zampini M, Savevski V, Santoro A, Kordasti S, Santini V, Kubasch A, Platzbecker U, Diez-Campelo M, Fenaux P, Zhao L, Zeidan A, Haferlach T, Castellani G, Della Porta M. Synthetic Histopathological Images Generation with Artificial Intelligence to Accelerate Research and Improve Clinical Outcomes in Hematology. Blood 2023, 142: 902. DOI: 10.1182/blood-2023-187521.Peer-Reviewed Original ResearchData augmentationArtificial intelligenceSynthetic imagesTextual inputGenerative modelDomain-specific language modelsAvailable textual dataSynthetic data augmentationEffective data augmentationFeatures of imagesReal-world datasetsSynthetic data generationReal-world imagesSpecific language modelHistological imagesUse casesImage featuresData sharingMultimodal dataImage generationTextual dataLayers of informationLanguage modelMultimodal informationClassification performance
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