Artificial Intelligence in Digital Pathology

Presented By:
Branden Hopkinson
Speaker Biography:
Branden Hopkinson has a PhD in Cellular and Genetic Medicine from the University of Copenhagen as well as a background in human embryonic stem cells and identification of cell origin for the various types of breast cancer. He also has extensive experience in the exploration of biomarkers for cell identification and diagnostic purposes.
Webinar:
Artificial Intelligence in Digital Pathology
Webinar Abstract:
Join Branden Hopkinson, Product Marketing Manager at Visiopharm, who will talk about using AI classifiers to find patterns in your images and which artificial intelligence method will work best with your image data. The terms “artificial intelligence” (AI), “machine learning” (ML), and “deep learning” (DL) have infiltrated nearly every industry. This presentation will define the important differences between each term, provide understanding of their roles in image analysis, and help you to decide which questions to ask and when to employ each method in your research.
Earn PACE Credits:
1. Make sure you’re a registered member of LabRoots (www.labroots.com/virtual-even...)
2. Watch the webinar on TH-cam or on the LabRoots Website (www.labroots.com/virtual-even...)
3. Click Here to get your PACE credits (Expiration date: October 7, 2022): (www.labroots.com/credit/pace-...)
LabRoots on Social:
Facebook: / labrootsinc
Twitter: / labroots
LinkedIn: / labroots
Instagram: / labrootsinc
Pinterest: / labroots
SnapChat: labroots_inc

[@ukkepukkie2882]

Thank you

[@wesremy]

Extremely clear powerpoint!

[@paulapedro6139]

Very good explanation !! thank you

[@naleshdalele]

Hats off to you sir. Really really great presentation.

[@Lokinenivenugopalrao]

Excellent ,thank you.

[@doooovid]

Thanks, great content!

[@humoyunahmedov1601]

very clear explanation

[@abail7010]

Awesome talk!

[@1924Puccini]

What software of Deep learning can be easily available for a pathologist to implement and start?

[@Gounesh]

You da real mvp

[@Andrew-rc3vh]

Thermostats are not really considered AI simply because they are very stupid. AI implies it has more intelligence than say one of those electromechanical machines we had before computers. They are entirely deterministic and for a particular function. Also when you talk about different forms, I think people may generalise because real life machines tend to use a variety of techniques. The field is rapidly evolving, so you try and pin a moving target. Many don't say exactly what they have under the bonnet either. Like database engine design, it is bit of a black art if you want to be competitive.