Webinar
Automating the Analysis of Digital Pathology Images with Deep Learning
![](/en-resources-assets/static/de7cc1326cd8b3d541032c33d79d010b/LP-heroImage-generic-node-5-2x1668445911.png)
Available on demand
How to build an end-to-end deep learning pipeline for whole slide image analysis with Databricks Machine Learning Runtime and MLflow
Today, microscopic scans of tissue samples can be rapidly digitized at a low cost. These high-resolution images provide researchers and clinicians with rich information to help detect the presence of cancer, develop new therapeutics and more. However, most of this work requires labor-intensive human review of these images. Deep learning can augment these workflows by interpreting thousands of images in a matter of minutes.
Despite the promise of deep learning, healthcare and life sciences organizations struggle to implement automated digital pathology workflows for the following reasons:
- It’s slow and cost prohibitive to process large image files (e.g. 1–2 GB per slide)
- Deep learning pipelines are hard to parallelize and can takes weeks to train a model
- Tracking and reproducing experiments across research labs is a challenge
Fortunately, the Databricks Unified Data Analytics Platform along with popular open-source projects Apache SparkTM, Spark Deep Learning Pipelines and MLflow make it easy to build a scalable deep learning pipeline for medical image analysis.
Join this webinar to learn:
- How deep learning can be used to automate digital pathology image analysis
- How to use Databricks’s ML Runtime to process thousands of whole slide images in minutes
- How to train an image classifier to detect cancer metastases in tumor segments
- How MLflow can be used to easily track and reproduce clinical experiments
Speakers
![Frank Nothaft](/en-resources-assets/static/b091fe33fd3e5e5eef6079c6e5f26ed6/frank-nothaft1683832555.jpg)
Frank Nothaft
Technical Director of Healthcare and Life Sciences
Databricks
![Amir Kermany](/en-resources-assets/static/cd66fc7668316e0de66085027a5551eb/amir-kermany1683832875.jpg)
Amir Kermany
Healthcare and Life Sciences Solution Architect
Databricks
![ortega1660758008](/en-resources-assets/static/c7e772319456d77925b64f3609eb358e/ortega1660758008.jpeg)
Michael Ortega
Industry and Solutions Marketing Lead
Databricks