Deep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer
Zhou J, Xia Y, Xun X, Yu Z. Deep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer. Journal Of Digital Imaging 2024, 1-14. PMID: 38740661, DOI: 10.1007/s10278-024-01132-8.Peer-Reviewed Original ResearchHarnessing TME depicted by histological images to improve cancer prognosis through a deep learning system
Gao R, Yuan X, Ma Y, Wei T, Johnston L, Shao Y, Lv W, Zhu T, Zhang Y, Zheng J, Chen G, Sun J, Wang Y, Yu Z. Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system. Cell Reports Medicine 2024, 5: 101536. PMID: 38697103, PMCID: PMC11149411, DOI: 10.1016/j.xcrm.2024.101536.Peer-Reviewed Original ResearchColorectal cancer cohortTumor microenvironmentCancer prognosisCancer cohortCancer Genome Atlas-Breast CancerAssociated with cancer prognosisImprove cancer prognosisPrognosis prediction modelBreast cancerConcordance indexClinical availabilitySurvival modelsSpatial transcriptomicsST expressionCancer typesPrognosisCancerSurvivalHistological images