Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

RT @KostasKamnitsas: Deep Learning tools can deliver if designed right. Their work is a no-hype example. Accelerating radiologists' worklo…

Deep Learning tools can deliver if designed right. Their work is a no-hype example. Accelerating radiologists' workload, not replacing. 1 clinic here, research towards scaling needed. Their Open Access article: https://t.co/1USbbEdZsa More to come: http

RT @MatteoMasperoNL: It is a great pleasure to share our open access: Clinical implementation of #MRI-based organs-at-risk auto-#segmentati…

Interesting results- Auto-segmentation of OARs for patients receiving definitive RT for prostate cancer comparing deep learning algorithms to atlas-based methods. Better conformality with deep learning methods as well as significant time reduction https:/