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Deep Learning Without A Big Dataset: Segmenting Brain Tumors - Lars Sjösund

Deep learning achieves very good results in the task of segmenting brain tumors, even when the available training dataset is quite small. We look at why this is, and how we can create an algorithm that is on par with human experts.

Key Points:

-Do we always need a large dataset when working with deep learning?
- How to design a deep learning algorithm for segmentation?
- How to handle imbalanced data?

#HyperightDataTalks is a video podcast of best presentations, discussions and interviews with some of the most innovative minds, enterprise practitioners, technology and service providers, start-ups and academics, working with Data Science, Data Management, Big Data, Analytics, AI, IOT and much more. All presentations are taken from Hyperight´s Data summits and now available for you. For more interviews, audio podcast and videos from some of the best presentations from our Data Summits, please visit http://www.hyperight.com

Presentation recorded during: Nordic Data Science and Machine Learning Summit 2017 - http://www.nordicdatasciencesummit.com/

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Видео Deep Learning Without A Big Dataset: Segmenting Brain Tumors - Lars Sjösund канала Hyperight AB
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22 ноября 2017 г. 16:13:36
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