{"task":"Multiple Instance Learning","dataset":"TCGA","metric_names":["ACC","AUC"],"rows":[{"id":34579,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"DTFD-MIL (AFS)","metrics":{"ACC":"0.951"},"paper_url":"https://arxiv.org/abs/2203.12081v1","paper_title":"DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification","paper_date":"2022-03-22","code_links":[{"title":"hrzhang1123/dtfd-mil","url":"https://github.com/hrzhang1123/dtfd-mil"},{"title":"liupei101/psemix","url":"https://github.com/liupei101/psemix"}],"metrics_order":"[\"ACC\", \"AUC\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":34580,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"Snuffy (SimCLR Exhaustive)","metrics":{"ACC":"0.947","AUC":"0.972"},"paper_url":"https://arxiv.org/abs/2408.08258v3","paper_title":"Snuffy: Efficient Whole Slide Image Classifier","paper_date":"2024-08-15","code_links":[{"title":"jafarinia/snuffy","url":"https://github.com/jafarinia/snuffy"}],"metrics_order":"[\"ACC\", \"AUC\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":34581,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"DSMIL-LC","metrics":{"ACC":"0.9286","AUC":"0.9583"},"paper_url":"https://arxiv.org/abs/2011.08939v3","paper_title":"Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning","paper_date":"2020-11-17","code_links":[{"title":"binli123/dsmil-wsi","url":"https://github.com/binli123/dsmil-wsi"},{"title":"Xiyue-Wang/RetCCL","url":"https://github.com/Xiyue-Wang/RetCCL"}],"metrics_order":"[\"ACC\", \"AUC\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":34582,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"DSMIL","metrics":{"ACC":"0.9190","AUC":"0.9633"},"paper_url":"https://arxiv.org/abs/2011.08939v3","paper_title":"Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning","paper_date":"2020-11-17","code_links":[{"title":"binli123/dsmil-wsi","url":"https://github.com/binli123/dsmil-wsi"},{"title":"Xiyue-Wang/RetCCL","url":"https://github.com/Xiyue-Wang/RetCCL"}],"metrics_order":"[\"ACC\", \"AUC\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":34583,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"DTFD-MIL (MaxMinS)","metrics":{"ACC":"0.891","AUC":"0.961"},"paper_url":"https://arxiv.org/abs/2203.12081v1","paper_title":"DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification","paper_date":"2022-03-22","code_links":[{"title":"hrzhang1123/dtfd-mil","url":"https://github.com/hrzhang1123/dtfd-mil"},{"title":"liupei101/psemix","url":"https://github.com/liupei101/psemix"}],"metrics_order":"[\"ACC\", \"AUC\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":34584,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"TransMIL","metrics":{"ACC":"0.8835","AUC":"0.9603"},"paper_url":"https://arxiv.org/abs/2106.00908v2","paper_title":"TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification","paper_date":"2021-06-02","code_links":[{"title":"szc19990412/TransMIL","url":"https://github.com/szc19990412/TransMIL"},{"title":"Xiyue-Wang/RetCCL","url":"https://github.com/Xiyue-Wang/RetCCL"},{"title":"Ycblue/TransMIL","url":"https://github.com/Ycblue/TransMIL"}],"metrics_order":"[\"ACC\", \"AUC\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":34585,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"DTFD-MIL (MaxS)","metrics":{"ACC":"0.868","AUC":"0.919"},"paper_url":"https://arxiv.org/abs/2203.12081v1","paper_title":"DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification","paper_date":"2022-03-22","code_links":[{"title":"hrzhang1123/dtfd-mil","url":"https://github.com/hrzhang1123/dtfd-mil"},{"title":"liupei101/psemix","url":"https://github.com/liupei101/psemix"}],"metrics_order":"[\"ACC\", \"AUC\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":34586,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"DTFD-MIL (MAS)","metrics":{"AUC":"0.955"},"paper_url":"https://arxiv.org/abs/2203.12081v1","paper_title":"DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification","paper_date":"2022-03-22","code_links":[{"title":"hrzhang1123/dtfd-mil","url":"https://github.com/hrzhang1123/dtfd-mil"},{"title":"liupei101/psemix","url":"https://github.com/liupei101/psemix"}],"metrics_order":"[\"ACC\", \"AUC\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":597803,"task":"Multiple Instance Learning","parent_task":null,"dataset":"TCGA","model_name":"EfficientMIL","metrics":{"AUC":"0.976"},"paper_url":"https://paperswithcode.com/paper/efficientmil-efficient-linear-complexity-mil-method-for-wsi-classification","paper_title":"EfficientMIL: Efficient Linear-Complexity MIL Method for WSI Classification","paper_date":"2025-09-28","code_links":[],"metrics_order":null,"area":null,"uses_additional_data":null,"source":"auto","tags":[]}]}