Radiological image segmentation with Medseg - Made with TensorFlow.js @TensorFlow
Radiological image segmentation with Medseg - Made with TensorFlow.js  @TensorFlow
Uploaded February 2023 | Updated September 2026, 1 week ago
Meet Tomas Sakinis, radiologist and one of the creators of MedSeg, a web-based segmentation tool where users can upload radiological images and perform segmentation using TensorFlow.js. Watch a demo to see MedSeg in action, hear about the benefits of using TensorFlow.js in medical settings, learn about radiological segmentation use cases, and more.

Try it for yourself:
Medeg → https://goo.gle/3J5ajjy

Want to be on the show? Use #MadeWithTFJS or #WebML to share your own creations on social media and we may feature you in our next show.

Watch more Made With TensorFlow.js → http://goo.gle/made-with-tfjs
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Products mentioned: TensorFlow - TensorFlow JS
Speakers: Jen Person
Radiological image segmentation with Medseg - Made with TensorFlow.jsCommunity matters: 8 reasons why you should be involved with KaggleIm a developer, how can I become an ML developer? | Breakout sessionMachine Learning for mobile | KeynoteItem-to-item recommendation and sequential recommendationWhat’s new in TensorFlow 2.11Tulsee Doshi - Responsible AI and human centered technologySimon Tokumine - Gemini and the future of Generative AI toolsBuilding Neural Collaborative Filtering recommendation model3D MRI brain segmentation - Made with TensorFlow.jsThe “spell check” of design systems - Made with TensorFlow.jsAI-powered infrastructure: Cloud TPUs
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Radiological image segmentation with Medseg - Made with TensorFlow.js

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