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UBC-OCEAN UBC Ovarian Cancer Subtype Classification and Outlier Detection [UBC-OCEAN] is the world's most extensive ovarian cancer dataset of histopathology images obtained from more than 20 medical centers. Navigating Ovarian Cancer: Unveiling Common Histotypes and Unearthing Rare Variants Citation @misc{UBC-OCEAN, author = {Ali Bashashati, Hossein Farahani, OTTA Consortium, Anthony Karnezis, Ardalan Akbari, Sirim Kim, Ashley Chow, Sohier Dane, Allen Zhang… See the full description on the dataset page: https://huggingface.co/datasets/NouRed/UBC-OCEAN-Thumbnails.

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Dataset Card

UBC-OCEAN

UBC Ovarian Cancer Subtype Classification and Outlier Detection [UBC-OCEAN] is the world's most extensive ovarian cancer dataset of histopathology images obtained from more than 20 medical centers.

Navigating Ovarian Cancer: Unveiling Common Histotypes and Unearthing Rare Variants

Citation

@misc{UBC-OCEAN,
    author = {Ali Bashashati, Hossein Farahani, OTTA Consortium, Anthony Karnezis, Ardalan Akbari, Sirim Kim, Ashley Chow, Sohier Dane, Allen Zhang, Maryam Asadi},
    title = {UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)},
    publisher = {Kaggle},
    year = {2023},
    url = {https://kaggle.com/competitions/UBC-OCEAN}
}