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    Results for "mammography"

    • C

      Coursera Project Network

      Pneumonia Classification using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Medical Imaging, Radiology, Image Analysis, X-Ray Computed Tomography, Computer Vision, Deep Learning, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Build a Machine Learning Image Classifier with Python

      Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Ingesting DICOM Data with the Healthcare API

      Skills you'll gain: Data Import/Export, Health Informatics, Cloud API, Google Cloud Platform, Health Information Management, Data Store, Medical Records, Clinical Data Management, Medical Imaging, Cloud Computing, Application Programming Interface (API), Data Modeling

      Beginner · Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Introduction to Reproducibility in Cancer Informatics

      Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Data Analysis, Programming Principles, Jupyter, Rmarkdown, R Programming, Git (Version Control System), Integrated Development Environments

      Intermediate · Course · 1 - 3 Months

    1…6789

    In summary, here are 4 of our most popular mammography courses

    • Pneumonia Classification using PyTorch : Coursera Project Network
    • Build a Machine Learning Image Classifier with Python: Coursera Project Network
    • Ingesting DICOM Data with the Healthcare API: Google Cloud
    • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University

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