A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics - Concepedia

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A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics

DOI Full Paper Access

100

Citations

58

References

2024

Year

Danh-Tai Hoang, Gal Dinstag, Eldad D. Shulman, Leandro C. Hermida, Doreen S. Ben-Zvi, Efrat Elis, Katherine Caley, Stephen‐John Sammut, Sanju Sinha, Neelam Sinha,

Deep-learning FrameworkSystems BiologyEngineeringMachine LearningCancer Treatment ResponseMedicineDigital PathologyMedical Image ComputingImputed TranscriptomicsPathologyCancer GenomicsBiomedical Data AnalysisDeep LearningOncologyRadiation OncologyTumor MicroenvironmentCancer ResearchRadiomics

References

	Year	Citations

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