# Image Classification on TCGA-CRC (test)

Source: [Image Classification on TCGA-CRC (test)](<https://www.sota2.com/research/sota/image-classification-on-tcga-crc-test>)

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

Data updated: 2026-02-26T05:29:09.875Z

Evaluation of Image Classification performance on the test split of the TCGA-CRC dataset, reporting metrics such as 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 | Image Classification |
| Dataset (including any stated split) | TCGA-CRC (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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/image-classification-on-tcga-crc-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [AUROC](<https://www.sota2.com/research/sota/image-classification-on-tcga-crc-test.md?metric=AUROC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Prompt-MIL | 75.47 | Not recorded | 68fa70cf1e209131cea4d51f |
| Full fine-tuning | 74.53 | Not recorded | 68fa70cf1e209131cea4d51f |
| Conventional MIL | 73.02 | Not recorded | 68fa70cf1e209131cea4d51f |

### Prompt-MIL

Accuracy: 75.47. Result ID: 69915a533a6c314849078dc2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cf1e209131cea4d51f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70cf1e209131cea4d51f.md>)

[Implementation](<https://github.com/cvlab-stonybrook/PromptMIL>)

Recorded evaluation configuration: {"Num. of Parameters":"70k+192"}. This record does not assert independent reproduction.

### Full fine-tuning

Accuracy: 74.53. Result ID: 69915a533a6c314849078dc1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cf1e209131cea4d51f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa667f1e209131cea10ad4.md>)

Recorded evaluation configuration: {"Num. of Parameters":"5.6M"}. This record does not assert independent reproduction.

### Conventional MIL

Accuracy: 73.02. Result ID: 69915a533a6c314849078dc0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cf1e209131cea4d51f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b21e209131cea23838.md>)

[Implementation](<https://github.com/binli123/dsmil-wsi>)

Recorded evaluation configuration: {"Num. of Parameters":"70k"}. This record does not assert independent reproduction.

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