# Whole Slide Image Classification on Average (CAMELYON16, TCGA-LUAD, TCGA-RCC)

Source: [Whole Slide Image Classification on Average (CAMELYON16, TCGA-LUAD, TCGA-RCC)](<https://www.sota2.com/research/sota/whole-slide-image-classification-on-average-camelyon16-tcga-luad-tcga-rcc>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:28:59.507Z

Aggregated evaluation of Whole Slide Image classification performance across the CAMELYON16, TCGA-LUAD, and TCGA-RCC datasets, reporting metrics like Accuracy and AUROC.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Whole Slide Image Classification |
| Dataset (including any stated split) | Average (CAMELYON16, TCGA-LUAD, TCGA-RCC) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/whole-slide-image-classification-on-average-camelyon16-tcga-luad-tcga-rcc.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [AUROC](<https://www.sota2.com/research/sota/whole-slide-image-classification-on-average-camelyon16-tcga-luad-tcga-rcc.md?metric=AUROC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Ours (Structured State Space Models) | 81.74 | Not recorded | 68fa6fe81e209131cea48127 |
| CLAM MB | 80.44 | Not recorded | 68fa6fe81e209131cea48127 |
| TransMIL | 80.34 | Not recorded | 68fa6fe81e209131cea48127 |
| CLAM SB | 79.41 | Not recorded | 68fa6fe81e209131cea48127 |
| Max-pooling | 74.03 | Not recorded | 68fa6fe81e209131cea48127 |
| Mean-pooling | 69.46 | Not recorded | 68fa6fe81e209131cea48127 |
| Transformer | 63.75 | Not recorded | 68fa6fe81e209131cea48127 |
| LSTM | 57.84 | Not recorded | 68fa6fe81e209131cea48127 |

### Ours (Structured State Space Models)

Accuracy: 81.74. Result ID: 6990f1a83a6c314849047ce6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

[Implementation](<https://github.com/MICS-Lab/s4_digital_pathology>)

Recorded evaluation configuration: {"state dimension":"128"}. This record does not assert independent reproduction.

### CLAM MB

Accuracy: 80.44. Result ID: 6990f1a83a6c314849047ce4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5f041e209131ce9e6f7a.md>)

Recorded evaluation configuration: {"Number of parameters":"791 048","Inference time (ms)":"5.85"}. This record does not assert independent reproduction.

### TransMIL

Accuracy: 80.34. Result ID: 6990f1a83a6c314849047ce5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9e3.md>)

[Implementation](<https://github.com/szc19990412/TransMIL>)

Recorded evaluation configuration: {"Number of parameters":"2 672 146","Inference time (ms)":"8.58"}. This record does not assert independent reproduction.

### CLAM SB

Accuracy: 79.41. Result ID: 6990f1a83a6c314849047ce3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5f041e209131ce9e6f7a.md>)

Recorded evaluation configuration: {"Number of parameters":"790 791","Inference time (ms)":"0.84"}. This record does not assert independent reproduction.

### Max-pooling

Accuracy: 74.03. Result ID: 6990f1a83a6c314849047ce0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

Recorded evaluation configuration: {"Number of parameters":"1 025","Inference time (ms)":"77.49"}. This record does not assert independent reproduction.

### Mean-pooling

Accuracy: 69.46. Result ID: 6990f1a83a6c314849047cdf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

Recorded evaluation configuration: {"Number of parameters":"1 025","Inference time (ms)":"5.60"}. This record does not assert independent reproduction.

### Transformer

Accuracy: 63.75. Result ID: 6990f1a83a6c314849047ce1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703d1e209131cea49db1.md>)

[Implementation](<https://github.com/tensorflow/tensor2tensor>)

Recorded evaluation configuration: {"Number of parameters":"1 054 978","Inference time (ms)":"2.60"}. This record does not assert independent reproduction.

### LSTM

Accuracy: 57.84. Result ID: 6990f1a83a6c314849047ce2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fe81e209131cea48127.md>)

Recorded evaluation configuration: {"Number of parameters":"789 250","Inference time (ms)":"320.52"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.