The split of HEST-Benchmark CCRCC that HEST-Benchmark evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits.
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10 evaluations · 10 results. Different protocols are not a single leaderboard.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: SimCLR histology encoder + random forest (HEST; Ciga et al.) | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.127 ±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 sourceRandom 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(CCRCC), column(Ciga) |
| Configuration: CONCH | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.149 ±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 sourceRandom 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(CCRCC), column(CONCH) |
| Configuration: CTransPath | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.171 ±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 sourceRandom 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(CCRCC), column(CTransPath) |
| Configuration: GigaPath | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.182 ±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 sourceRandom 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(CCRCC), column(GigaPath) |
| Configuration: KimiaNet | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.136 ±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 sourceRandom 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(CCRCC), column(KimiaNet) |
| Configuration: Phikon | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.178 ±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 sourceRandom 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(CCRCC), column(Phikon) |
| Configuration: PLIP | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.124 ±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 sourceRandom 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(CCRCC), column(PLIP) |
| Configuration: Remedis | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.200 ±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 sourceRandom 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(CCRCC), column(Remedis) |
| Configuration: ResNet50 | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.136 ±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 sourceRandom 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(CCRCC), column(ResNet50) |
| Configuration: UNI | Task: HEST-Benchmark CCRCC: Gene expression prediction from histology, Clear cell renal cell carcinoma Dataset subset: HEST-Benchmark CCRCC (HEST-Benchmark split) | 0.186 ±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 sourceRandom 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(CCRCC), column(UNI) |
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2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| description The split of HEST-Benchmark CCRCC that HEST-Benchmark evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits. Context-only references | HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis No field-specific location recorded Version: Version pinned by URL and artifact SHA256 when available | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name HEST-Benchmark CCRCC (HEST-Benchmark split) Context-only references | HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis No field-specific location recorded Version: Version pinned by URL and artifact SHA256 when available | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
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Release 2026-09-29-06401fd5b220 · Record review: source checked
Stable ID: hest-dataset-hest-benchmark-ccrcc