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April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Smart diagnosis in healthcare with deep learning

This will be presented in English.

Nishant Sahay (Wipro Limited)
16:2017:00 Friday, April 13, 2018
实施人工智能 (Implementing AI), 英文讲话 (Presented in English)
Location: 多功能厅2(Function Room 2) Level: Intermediate
Secondary topics:  保健与医疗 (Health and Medicine), 深度学习(Deep Learning)

必要预备知识 (Prerequisite Knowledge)

  • A basic understanding of computer vision and neural network concepts

您将学到什么 (What you'll learn)

  • Understand how to do deep learning with ConvNet, how to use big data tools like Apache Spark with OpenCV for image preprocessing, and how to do image classification using biophotonics and radiology data

描述 (Description)

Artificial intelligence, and specifically deep learning, has begun to be used at the forefront of research across a variety of domains, including healthcare. One of the areas in healthcare where deep learning can have a great impact is learning from past data to diagnose disease. Biophotonics and radiology in particular provide a large dataset of archived images that can be used in computer-aided deep learning systems to classify and diagnose health issues in patients. Deep learning, computer vision, and big data tools make it possible to automate much of the manual inspection and complex workflow in radiology and biophotonics.

Nishant Sahay explains how to apply deep learning to analyze high-end microscope images and X-ray scans to provide accurate diagnosis, exploring examples of how to automatically detect anomalies from samples of digital images using a combination of deep learning techniques, OpenCV, and Apache Spark.

Photo of Nishant Sahay

Nishant Sahay

Wipro Limited

Nishant Sahay is a senior architect in the Open Source COE lab at Wipro, where he is responsible for research and solution development in the area of machine learning and deep learning. Nishant has extensive experience in data analysis, design, and visualization. He has written articles on technology in online forums and presented at multiple open source conferences, such as OSI Days, GIDS, and CNCF-Kubeconf.