I've found these additional Training Datasets online. These seem to be Hematoxylin and Eosin (H&E) stained tissue images, as the ones from this competition.
\nMy source is ALBRT
\n", "messages": [ { "id": "3170256", "postDate": "04/04/2025 13:51:19", "content": "I've found these additional Training Datasets online. These seem to be Hematoxylin and Eosin (H&E) stained tissue images, as the ones from this competition.
\nMy source is ALBRT
\n", "rawMarkdown": "I've found these additional Training Datasets online. These seem to be Hematoxylin and Eosin (H&E) stained tissue images, as the ones from this competition.\n\nMy source is [ALBRT](https://arxiv.org/abs/2108.08306) \n\n- [PanNuke](https://paperswithcode.com/dataset/pannuke): 481 Visual Fields, 2351 patches\n- [NuCLS](https://drive.google.com/drive/folders/1eGlF9Dgu3WMEik4fqj0wJ13LKVufsfZ0) 1744 Visual Fields, mostly from TCGA (cancer)", "votes": null }, { "id": "3170273", "postDate": "04/04/2025 14:22:36", "content": "External data is prohibited in the rules section.
\n\"All submissions must be built only on the provided training data and computational models available in the public domain. Teams cannot use external data besides the training set for model development.\"
", "rawMarkdown": "External data is prohibited in the rules section.\n\n\"All submissions must be built only on the provided training data and computational models available in the public domain. Teams cannot use external data besides the training set for model development.\"", "votes": null }, { "id": "3170704", "postDate": "04/04/2025 23:24:10", "content": "that's a contradictory rule. if pre-trained models are allowed, use of external data is implicitly allowed. You can create your own pre-trained model and then use it as a pre-trained model in the competition.
\n\n", "rawMarkdown": "that's a contradictory rule. if pre-trained models are allowed, use of external data is implicitly allowed. You can create your own pre-trained model and then use it as a pre-trained model in the competition. \n\n> All software libraries and any pretrained models used in the model pipeline for training/fine-tuning must be credited and must be freely accessible to the Challenge organizers.", "votes": null } ], "comments": [ { "id": 3170273, "author_name": "greysky", "author_url": "", "post_date": "04/04/2025 14:22:36", "content": "All software libraries and any pretrained models used in the model pipeline for training/fine-tuning must be credited and must be freely accessible to the Challenge organizers.
\n
External data is prohibited in the rules section.
\n\"All submissions must be built only on the provided training data and computational models available in the public domain. Teams cannot use external data besides the training set for model development.\"
", "votes": null, "replies": [ { "id": 3170704, "author_name": "jaejohn", "author_url": "", "post_date": "04/04/2025 23:24:10", "content": "that's a contradictory rule. if pre-trained models are allowed, use of external data is implicitly allowed. You can create your own pre-trained model and then use it as a pre-trained model in the competition.
\n\n", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "3170256": "I've found these additional Training Datasets online. These seem to be Hematoxylin and Eosin (H&E) stained tissue images, as the ones from this competition.\n\nMy source is [ALBRT](https://arxiv.org/abs/2108.08306) \n\n- [PanNuke](https://paperswithcode.com/dataset/pannuke): 481 Visual Fields, 2351 patches\n- [NuCLS](https://drive.google.com/drive/folders/1eGlF9Dgu3WMEik4fqj0wJ13LKVufsfZ0) 1744 Visual Fields, mostly from TCGA (cancer)", "3170273": "External data is prohibited in the rules section.\n\n\"All submissions must be built only on the provided training data and computational models available in the public domain. Teams cannot use external data besides the training set for model development.\"", "3170704": "that's a contradictory rule. if pre-trained models are allowed, use of external data is implicitly allowed. You can create your own pre-trained model and then use it as a pre-trained model in the competition. \n\n> All software libraries and any pretrained models used in the model pipeline for training/fine-tuning must be credited and must be freely accessible to the Challenge organizers." }, "source": "meta" }All software libraries and any pretrained models used in the model pipeline for training/fine-tuning must be credited and must be freely accessible to the Challenge organizers.
\n