GDG Addis – Telegram
GDG Addis
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GDG Addis (Google Developers Group Addis) is a community of passionate software developers and IT enthusiasts in Ethiopia. Join the discussion at https://news.1rj.ru/str/GDG_Addis.
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With 36 days left, don't forget to reserve your seat for #DevFest. An unmissable event that will bring the best of the best all together to share knowledge, experience, and technology perspectives.
Visit devfest.gdgaddis.dev for more info
Happening now, the #AfriDevCon
Leader of #GDGAddis Melak Whubshet and Habib Mohammed having a live code workshop to build a voting app using #Flutter and #Firebase in the #AfriDevCon
GDG-Addis team live coding #Flutter and #Firebase! #AfriDevCon #GDGAddis #WTMAddis
Forwarded from Women Techmakers Addis (Óromia Godanna)
Happening Now!
#Women at the forefront of #Technology.

#AfriDevCon
All these stakeholders are contributing a lot for the establishment of strong tech ecosystem in Ethiopia and beyond.

#Afridevcon
Today is the last day for the "Call for Speakers. Speak and inspire more than 800 attendees for #DevFest. Be part of the MAGIC that is going to occur at the biggest Developer's Festival in #Ethiopia !

Visit devfest.gdgaddis.dev

#GDGAddis
#WTMAddis
#DevFest19
#DevFest19Addis
An ever growing community. Nearly 2,500 members, being the fastest growing community in Africa. And the thanks to you!

meetup.com/GDG-Addis
Surpassing 400 attendees. Let's keep enrolling and registering for the biggest developet festival, #DevFest. Get ready and stay tuned.

devfest.gdgaddis.dev
But, what is #DevFest?

Developer Festival is .....

Wanna know more?

Check out devfest.gdgaddis.dev
TOGETHER WE MADE IT🎊🎉.. 2,500 members, that's unbelievable. Thanks to all. Let's keep growing, together

#GDGAddis
#WTMAddis
#DevFest
#DevFest19
#DevFest19Addis
Applying deep learning and #Tensorflow to improve brain #MRI images quality

Taking brain MRI images is complicated procedure as the orientation, location, and coverage needs to be correct in all three spatial dimentsions. The quality and consistency of positioning and orientation of the slices relies heavily on the skill and experience of the scan operator. This process can be time-consuming and difficult, especially for complex anatomies. As a result, there can be inconsistencies from scan operator to scan operator. This lack of consistency can make the job of the radiologist in interpreting these images more difficult especially when a patient is being scanned as a follow up to previous MRI exam and they are trying to identify subtle changes in anatomy or disease progression over time.

The researchers from GE Healthcare Magnetic Resonance Imaging team developed an approach to aid the scan operator. The approach is based on 3 deep neural networks, can be adopted to take MRI images of the other body parts and achieves 99.2% accuracy score. The researchers notice that Tensorflow significantly helped them to develop and deliver the approach to the production.

Medium article: https://medium.com/tensorflow/intelligent-scanning-using-deep-learning-for-mri-36dd620882c4
GE Helthcare website: https://www.gehealthcare.com

#Tensorflow #medicine #casestudy #DL #CV