1.5

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This class will describe how to leverage deep learning models for classification and segmentation of clinical medical imaging data. Students will get hands-on experience in working with medical images and learn how to integrate AI models in a clinical setting using the DICOM (Digital Imaging Communication in Medicine) interoperability standard. Goals: 1. Understand the DICOM standard data model for the medical imaging industry. 2. Illustrate DICOMWeb REST API for querying, retrieving, and storing of medical images 3. Be able to identify the components of building a deep learning convolutional neural network for classification and segmentation. 4. Understand how to create and annotate a robust training set for medical imaging. 5. Create a deep learning model for segmentation and understand how to evaluate the performance of the model.