MONAI Label: AI-Assisted Annotation for Continuous Learning for Radiology, Pathology, and Medical Video Data

, Technical Marketing Engineer, NVIDIA
Learn how to get started with AI-assisted annotation using MONAI Label. MONAI Label is an open-source image labeling and learning tool that allows researchers to create novel AI models and collaborate with a clinical team. You’ll get a short introduction to MONAI Label and then dive deep into creating your own MONAI Label application to train and run inference of your model. You'll learn how AI will help you annotate your data, reducing manual work and saving time. Next, you'll learn how continuous learning loop is integrated into MONAI Label and how active learning plays an integral role in data selection.
We'll cover radiology, pathology, and endoscopy video-like use cases. For each use case, you'll utilize different viewers, such as 3D Slicer, OHIF, and XNAT for radiology; QuPath and imagJ with impartial for pathology; and Cvat for endoscopy.
Prerequisite(s):

Python
Deep Learning
Basic familiarity with medical imaging


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活动: GTC 24
日期: March 2024
话题: AI 推理
NVIDIA 技术: Clara,MONAI
行业: 医疗健康与生命科学
级别: 中级技术
语言: 英语
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