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ai-deep-learning-lab-2022's Introduction

RSNA AI Deep Learning Lab 2022

Intro

Welcome Deep Learners!

This document provides all the information you need to participate in the RSNA AI Deep Learning Lab. This set of classes provides a hands-on opportunity to engage with deep learning tools, write basic algorithms, learn how to organize data to implement deep learning and improve your understanding of AI technology.

The classes will be held in the RSNA AI Deep Learning Lab classroom, which is located in the Lakeside Learning Center, Level 3. Here's the schedule of classes. CME credit is available for each session.

Requirements

All lessons are designed to run in Google Colab, which is a free web-based version of Jupyter hosted by Google. You will need a Google account (eg, gmail) to use Colab. If you don't already have a Google account, please create one in advance at the account sign-up page. You can delete the account when you complete the lessons if you wish.

We recommend that you use a computer with a recent vintage processor running the Chrome browser.

Class Schedule

Date / Time Class Notebooks
Sunday, November 27, 2022
Sun 10:30-11:30 am DICOM Data Wrangling with Python (Beginner friendly) Notebook
Sun 12:00-1:00 pm Data Processing & Curation for Deep Learning (Beginner friendly) Notebook
Monday, November 28, 2022
Mon 9:00-10:00 am NCI Imaging Data Commons: Curated data and Reproducible AI workflows (Beginner friendly) See README in course folder
Mon 10:30-11:30 am Accessing freely available public datasets from The Cancer Imaging Archive (TCIA) (Beginner friendly) Notebook
Mon 12:00-1:00 pm MedNIST Exam Classification with MONAI (Beginner friendly) Notebook
Mon 1:30-2:30 pm CT Body Part Classification (Beginner friendly) Notebook #1, Notebook #2
Mon 3:00-4:00 pm Basics of NLP in Radiology (Beginner friendly) Notebook
Tuesday, November 29, 2022
Tues 10:00-11:00 am YOLO: Bounding Box Segmentation & Classification - Part 1 Notebook
Tues 11:30 am-12:30 pm Generative Adversarial Networks Notebook
Tues 1:00-2:00 pm Best Practices for Model Training: Architectures, Hyperparameters & Optimization Course Faculty will provide instructions
Tue 3:00-4:00 pm NLP: Text Classification with Transformers Notebook
Wednesday, November 30, 2022
Wed 10:00-11:00 am YOLO: Bounding Box Segmentation & Classification - Part 2 Notebook
Wed 11:30 am-12:30 pm Building custom deep learning models with PyTorch Notebook
Wed 1:00-2:00 pm DICOM In, DICOM Out for Segmentation Notebook
Thursday, December 1, 2022
Thurs 9:00-10:00 am Accelerate your AI-based medical imaging research with MONAI Core on SageMaker Course Faculty will provide instructions
Thurs 10:30-11:30 am Multimodal Fusion for Pulmonary Embolism Detection Using CTs and Patient EMR Notebook

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