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1
Introduction
2
Medical Imaging Use Cases
3
Machine Learning Life Cycle
4
ML Operations
5
Medical Use Cases
6
Notebook Experience
7
Azure ML Platform
8
Notebook
9
Sample Image
10
Experiment Life Cycle
11
Data Labeling
12
Azure ML Studio
13
Project Overview
14
Labeler Perspective
15
Medical Features
16
Metadata Integration
17
Quality Control
18
Label Data
19
Health Data Platforms
20
Azure Machine Learning
21
Annotation Tool
22
Model Monitoring
23
Federated Learning
24
Pneumonia Detection
25
Data Visualizations
Description:
Explore medical imaging applications using Azure Machine Learning in this 1-hour 19-minute webinar. Discover how AI enhances healthcare productivity, enables remote health screening, and facilitates early disease detection. Learn about computer vision demos for medical scenarios, covering topics such as data and model management, deployment, experiment tracking, and explainability. Gain insights into various data science approaches, from manual PyTorch model development to automated machine learning for images. Dive into the machine learning lifecycle, ML operations, and medical use cases through practical notebook experiences. Understand the Azure ML platform, experiment lifecycle, data labeling processes, and integration with health data platforms. Examine pneumonia detection techniques, data visualizations, and the potential of federated learning in medical imaging applications.

Medical Imaging with Azure Machine Learning

Open Data Science
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