| Configuration: SimCLR histology encoder + random forest (HEST; Ciga et al.) | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.406 ±0.02 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSimCLR histology encoder + random forest (HEST; Ciga et al.) on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(Ciga) |
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| Configuration: CONCH | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.504 ±0.05 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.05 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCONCH on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(CONCH) |
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| Configuration: CTransPath | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.454 ±0.04 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.04 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCTransPath on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(CTransPath) |
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| Configuration: GigaPath | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.492 ±0.05 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.05 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGigaPath on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(GigaPath) |
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| Configuration: KimiaNet | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.420 ±0.04 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.04 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceKimiaNet on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(KimiaNet) |
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| Configuration: Phikon | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.430 ±0.06 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.06 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourcePhikon on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(Phikon) |
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| Configuration: PLIP | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.436 ±0.04 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.04 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourcePLIP on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(PLIP) |
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| Configuration: Remedis | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.491 ±0.06 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.06 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRemedis on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(Remedis) |
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| Configuration: ResNet50 | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.440 ±0.03 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.03 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet50 on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(ResNet50) |
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| Configuration: UNI | Task: HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Dataset subset: HEST-Benchmark IDC (HEST-Benchmark split) | 0.502 ±0.06 pearson_r correlation · higher Uncertainty: type: standard_deviation; value: 0.06 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceUNI on HEST-Benchmark IDC: Gene expression prediction from histology, Invasive ductal carcinoma Random Forest regression with 70 trees over frozen patch features, averaged over folds or patients. Aggregation: Not reported HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis · Table 1, row(IDC), column(UNI) |
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