Replication Data for: DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation

التفاصيل البيبلوغرافية
العنوان: Replication Data for: DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation
المؤلفون: Wu, Jimmy, Zhou, Bolei, Peck, Diondra, Hsieh, Scott, Dialani, Vandana, Mackey, Lester, Patterson, Genevieve
المساهمون: Wu, Jimmy
بيانات النشر: Harvard Dataverse
المجموعة: Harvard Dataverse Network
مصطلحات موضوعية: Computer and Information Science, Medicine, Health and Life Sciences
الوصف: This dataset contains the preprocessed DDSM data and pretrained CNN models used in the publication "DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation." These files are also hosted in our GitHub code release (https://github.com/jimmyyhwu/ddsm-visual-primitivesTest). This copy on Dataverse is intended to be a source of redundancy in case the main data source becomes unavailable.
نوع الوثيقة: other/unknown material
اللغة: unknown
العلاقة: https://doi.org/10.7910/DVN/U39HOQTest
DOI: 10.7910/DVN/U39HOQ
الإتاحة: https://doi.org/10.7910/DVN/U39HOQTest
رقم الانضمام: edsbas.B8ED97D5
قاعدة البيانات: BASE