Pathology ML Insights
I’ve launched a newsletter called Pathology ML Insights to help bring the latest machine learning and computer vision research to pathology.
Content includes ideas to advance your algorithms, discussion of new tools, new application areas, and links to my latest articles with more in depth insights.
Transfer learning, weak supervision, self-supervised learning, multi-modal models, small data, domain adaptation, outcome prediction, explainability, validation, bias, etc. – and, most importantly, how these topics can be applied to pathology images
You’ll hear from me no more than twice a month, and you can unsubscribe at any time.
For a taste of what to expect, you can find past issues here.
This field is advancing more rapidly than ever, and I look forward to sharing this knowledge with you!