Datasets:
				
			
			
	
			
			
	
		
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    | @@ -184,7 +184,6 @@ The dataset has been modified and organized for benchmarking purposes: | |
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            We provide example implementations using four state-of-the-art foundation models:
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            - [CONCH](https://huggingface.co/MahmoodLab/CONCH)
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            - [CONCHv1.5](https://huggingface.co/MahmoodLab/conchv1_5)
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            - [GigaPath](https://huggingface.co/prov-gigapath/prov-gigapath)
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            - [UNI](https://huggingface.co/MahmoodLab/UNI)
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            - [UNI2](https://huggingface.co/MahmoodLab/UNI2-h)
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| @@ -220,7 +219,6 @@ See `licenses/references.txt` for model citations. | |
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            | UNI | 0.8144 | 0.7923 | 0.7634 | 0.6897 | 0.7109 | 0.6946 |
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            | GigaPath | 0.8161 | 0.7878 | 0.7444 | 0.6676 | 0.6967 | 0.6675 |
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            | Lunit* | 0.7919 | 0.7535 | 0.7427 | 0.6539 | 0.6611 | 0.6427 |
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            | CONCHv1.5 | 0.7709 | 0.7306 | 0.7162 | 0.6313 | 0.6614 | 0.6383 |
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            | CONCH | 0.7672 | 0.7295 | 0.7028 | 0.6139 | 0.6150 | 0.6097 |
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            | CTransPath | 0.7255 | 0.6748 | 0.6200 | 0.5057 | 0.5158 | 0.4857 |
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            | ResNet | 0.6395 | 0.5581 | 0.5114 | 0.3816 | 0.3154 | 0.2973 |
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| @@ -243,7 +241,6 @@ See `licenses/references.txt` for model citations. | |
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            | GigaPath | 0.7246 | 0.6379 | 0.6426 | 0.5495 | 0.6361 | 0.5960 |
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            | Phikon | 0.7311 | 0.6351 | 0.5511 | 0.4586 | 0.5474 | 0.5104 |
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            | Hibou | 0.6696 | 0.6161 | 0.5155 | 0.4436 | 0.4911 | 0.4765 |
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            | CONCHv1.5 | 0.7080 | 0.6098 | 0.6762 | 0.5846 | 0.6415 | 0.6100 |
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            | Lunit* | 0.6851 | 0.6044 | 0.6021 | 0.5098 | 0.5862 | 0.5503 |
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            | CONCH | 0.6991 | 0.5975 | 0.6626 | 0.5735 | 0.5954 | 0.5905 |
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            | CTransPath | 0.6160 | 0.5215 | 0.5229 | 0.4205 | 0.4498 | 0.4128 |
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            We provide example implementations using four state-of-the-art foundation models:
         | 
| 186 | 
             
            - [CONCH](https://huggingface.co/MahmoodLab/CONCH)
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|  | |
| 187 | 
             
            - [GigaPath](https://huggingface.co/prov-gigapath/prov-gigapath)
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| 188 | 
             
            - [UNI](https://huggingface.co/MahmoodLab/UNI)
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            - [UNI2](https://huggingface.co/MahmoodLab/UNI2-h)
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            | UNI | 0.8144 | 0.7923 | 0.7634 | 0.6897 | 0.7109 | 0.6946 |
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            | GigaPath | 0.8161 | 0.7878 | 0.7444 | 0.6676 | 0.6967 | 0.6675 |
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| 221 | 
             
            | Lunit* | 0.7919 | 0.7535 | 0.7427 | 0.6539 | 0.6611 | 0.6427 |
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|  | |
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            | CONCH | 0.7672 | 0.7295 | 0.7028 | 0.6139 | 0.6150 | 0.6097 |
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            | CTransPath | 0.7255 | 0.6748 | 0.6200 | 0.5057 | 0.5158 | 0.4857 |
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            | ResNet | 0.6395 | 0.5581 | 0.5114 | 0.3816 | 0.3154 | 0.2973 |
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|  | |
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            | GigaPath | 0.7246 | 0.6379 | 0.6426 | 0.5495 | 0.6361 | 0.5960 |
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| 242 | 
             
            | Phikon | 0.7311 | 0.6351 | 0.5511 | 0.4586 | 0.5474 | 0.5104 |
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| 243 | 
             
            | Hibou | 0.6696 | 0.6161 | 0.5155 | 0.4436 | 0.4911 | 0.4765 |
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|  | |
| 244 | 
             
            | Lunit* | 0.6851 | 0.6044 | 0.6021 | 0.5098 | 0.5862 | 0.5503 |
         | 
| 245 | 
             
            | CONCH | 0.6991 | 0.5975 | 0.6626 | 0.5735 | 0.5954 | 0.5905 |
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| 246 | 
             
            | CTransPath | 0.6160 | 0.5215 | 0.5229 | 0.4205 | 0.4498 | 0.4128 |
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