Difference between revisions of "2017 Winter Project Week/Deep Learning for Medical Image Computation"

Latest revision as of 13:05, 13 January 2017

Home < 2017 Winter Project Week < Deep Learning for Medical Image Computation

Objective	Approach and Plan	Progress and Next Steps
To provide an introduction to proven concepts from Deep Learning that are making high impact in medical image computation.	11 Projects that plan to use/investigate Deep Learning on Medical Images + clinical data Deep Learning hands-on tutorial: Image segmentation lab with TensorFlow (Abel Brown, Abdul Alhalabi) (Monday 3-5pm) Deep Learning hands-on tutorial: Electronic health records lab with Keras (Abel Brown, Abdul Alhalabi) (Monday 5:30-7pm) Newly Launched MGH Clinical Data Science Center with focus on GPU and Machine Learning (Joshua Moore) (Monday 5-5:30pm) Basic Concepts in Neural Network Methodology (Mohsen Ghafoorian) (Tuesday 1-3pm) Tensorflow Workshop (Luis Ibanez) (Wednesday 10am-12pm)	All sessions were well attended (30-100 attendees). Specific feedback: google tensorflow tutorial should have been the first one in the series MGH Center for Clinical Data Science presented and loaned high performance machines for the week Successful use of prostate segmentation code across multiple institutions

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)

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 <!-- Progress and Next steps bullet points (fill out at the end of project week) -->
-* Nvidia and Google Training workshops were very well attended and popular
+* All sessions were well attended (30-100 attendees). Specific feedback: google tensorflow tutorial should have been the first one in the series
 * MGH Center for Clinical Data Science presented and loaned high performance machines for the week
 * Successful use of prostate segmentation code across multiple institutions