Difference between revisions of "2017 Winter Project Week/Deep Learning for Medical Image Computation"
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− | * | + | * Nvidia and Google Training workshops were very well attended and popular |
+ | * MGH Center for Clinical Data Science presented and loaned high performance machines for the week | ||
+ | * Successful use of prostate segmentation code across multiple institutions | ||
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Revision as of 18:46, 12 January 2017
Home < 2017 Winter Project Week < Deep Learning for Medical Image ComputationKey Investigators
- Tina Kapur, BWH/HMS
- Steve Pieper, Isomics
- Abdul Al Halabi, nVIDIA
- Abel Brown, nVIDIA
- Joshua Moore, MGH Clinical Data Science Center
- Mohsen Ghafoorian, Radboud University
- Luis Ibanez, Google
- Alireza Mehrtash, UBC/BWH
Project Description
Objective | Approach and Plan | Progress and Next Steps |
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Background and References
- File:Basic concepts.pptx Presentation on basic concepts in neural networks (By Mohsen Ghafoorian)
- File:State of the art CNNs.pptx Presentation on State-of-the-art CNN architectures (By Mohsen Ghafoorian)