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
Forwarded from Women Techmakers Addis (Óromia Godanna)
All these stakeholders are contributing a lot for the establishment of strong tech ecosystem in Ethiopia and beyond.
#Afridevcon
#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
Visit devfest.gdgaddis.dev
#GDGAddis
#WTMAddis
#DevFest19
#DevFest19Addis
Forwarded from Habib
YouTube
Flutter & Firebase Live Coding | Recap | AfriDevCon
Recap Flutter & Firebase live coding session of GDG Addis at AfriDevCon. Building a simple voting app from scratch.
Important Info:
The video doesn't cover setting up firestore database. To set up, simply create a new firestore database in test mode and…
Important Info:
The video doesn't cover setting up firestore database. To set up, simply create a new firestore database in test mode and…
An ever growing community. Nearly 2,500 members, being the fastest growing community in Africa. And the thanks to you!
meetup.com/GDG-Addis
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
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
#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
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
Medium
Intelligent Scanning Using Deep Learning for MRI
Posted by Jason A. Polzin, PhD GM Applications and Workflow, GE Healthcare Global Magnetic Resonance Imaging