This site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. Here are the instructions how to enable JavaScript in your web browser.

Instructor-Led Workshop
Deep Learning for Healthcare Image Analysis

This workshop teaches you how to apply deep learning to radiology and medical imaging. You’ll learn image segmentation, how to train convolutional neural networks (CNNs), and techniques for using radiomics to identify the genomics of a disease.

Learning Objectives

By participating in this workshop, you’ll:

Train CNNs to infer the volume of the left ventricle of the human heart from time-series MRI data
Perform image segmentation on MRI images to determine the location of the left ventricle
Use CNNs to detect heart disease and calculate ejection fractions by measuring the differences between diastole and systole
Apply CNNs to MRI scans of low-grade gliomas (LGGs) to determine 1p/19q chromosome co-deletion status

Download workshop datasheet (PDF 292 KB)

Workshop Outline

Introduction (15 mins)	Meet the instructor. Create an account at courses.nvidia.com/join
Image Segmentation (120 mins)	Learn techniques for placing each pixel of an image into a specific class: Extend Caffe with custom Python layers. Implement the process of transfer learning. Create fully convolutional neural networks from popular image classification networks.
Break (60 mins)
Image Analysis (120 mins)	Leverage CNNs for medical image analysis to infer patient status from non-visible images: Extend a canonical 2D CNN to more complex data. Use the framework MXNet through the standard Python API and R. Process high-dimensional imagery that may be volumetric and temporal.
Break (15 mins)
Image Classification with TensorFlow (120 mins)	Learn about deep learning techniques for detecting imaging genomics (radiomics) from MRIs: Design and train CNNs. Use radiomics to create biomarkers that identify the genomics of a disease without the use of an invasive biopsy. Explore the radiogenomics work being done at the Mayo Clinic, which has led to more effective treatments and better health outcomes for patients with brain tumors.
Final Review (15 mins)	Review key learnings and wrap up questions. Complete the assessment to earn a certificate. Take the workshop survey.

Workshop Details

Duration: 8 hours

Price: Contact us for pricing.

Prerequisites:

Basic familiarity with deep neural networks
Basic coding experience in Python or a similar language

Technologies: Caffe, NVIDIA DIGITS, R, MXNet, TensorFlow

Content Collaborator: Mayo Clinic

Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages: English, Japanese

If your organization is interested in boosting and developing key skills in AI, accelerated data science, or accelerated computing, you can request instructor-led training from the NVIDIA DLI.

Request a Workshop

Questions?

Contact Us for Questions on
Deep Learning Training

Section

Section

First Name

Last Name

Business Email Address

Organization / University Name

Industry

Job Title

Location

City

State

Reason for requesting contact

NVIDIA Privacy Policy

本人知悉且同意 NVIDIA 基于调研、活动组织的目的对本人的上述信息的收集和处理，并已经阅读并同意 <a href="https://www.nvidia.cn/about-nvidia/privacy-policy/?deeplink=visiting-our-website" target="_blank">NVIDIA 隐私政策</a>。

本人知悉且同意，因调研、活动组织的必须，以及相对应的 NVIDIA 内部管理和系统操作的需要，上述信息会被传输到位于美国的 NVIDIA Corporation 按照符合 <a href="https://www.nvidia.cn/about-nvidia/privacy-policy/?deeplink=visiting-our-website" target="_blank">NVIDIA 隐私政策</a>的方式进行存储，您可以通过发送邮件至 <a href="mailto:privacy@nvidia.com">privacy@nvidia.com</a> 进行联系以解决相关问题，实现可适用的数据保护法所规定的权利。

Instructor-Led Workshop
Deep Learning for Healthcare Image Analysis

Learning Objectives

Workshop Outline

Workshop Details

Questions?

Contact Us for Questions on
Deep Learning Training

Read our FAQs.

Inquire about NVIDIA Deep Learning Institute services.

For technical questions, check out the NVIDIA Developer Forums.

Instructor-Led Workshop Deep Learning for Healthcare Image Analysis

Learning Objectives

Workshop Outline

Workshop Details

Questions?

Contact Us for Questions on Deep Learning Training

Read our FAQs.

Inquire about NVIDIA Deep Learning Institute services.

For technical questions, check out the NVIDIA Developer Forums.

Instructor-Led Workshop
Deep Learning for Healthcare Image Analysis

Contact Us for Questions on
Deep Learning Training