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Deep learning artificial intelligence has entered the field of digital pathology and is here to stay because it consistently outperforms the classical image analysis methods on pathology slides.

The only caveat is that to train good deep learning image analysis models we need a lot of whole slide images.

Where do we get them? Is there a central repository that can be used for this purpose?

Good news, there is one in the making!

There is an ongoing  project to create a very large repository of several million whole slide images accessible for the digital pathology  community. It is called BIGPICTURE and in this podcast you will learn about it from the experts.

This episode's guests, two of the project leaders - Julie Boisclair from Novartis and Jeroen van der Laak from the computational pathology group at  RadboudUMC are explaining the 

• who
• what
• how and 
• when of the BigPicture project. 

Listen to the full episode to learn all about it.

This episode's resources:

• BigPicture project website
• IMI - BigPicture: A Central Repository for Digital Pathology - publication

Episodes you might also like:

• 5 ways to make histopathology image models more robust to domain shift w/ Heather Couture, Pixel Scientia Labs
• Why Machine learning expertise is needed for digital pathology projects w/ heather Couture, Pixel Scientia Labs 

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