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MedSeg

AI segmentation for CT and MRI, by radiologists.

AI-assisted medical image segmentation built by radiologists. Pretrained CT and MRI models, nnInteractive, custom nnU-Net training, DICOM and NIfTI. Free for research.

Top comment

Hey, we built MedSeg because medical image segmentation has been personally slow and inapproachable: download multi-GB software, fight CUDA drivers, hope the model runs on your scan, data management...etc. Having experience in helping research groups achieve their goals by using AI models iteratively, we wanted a full workspace where the data is stored in a tidy way and where you can train and run models. So that's what this is. Drag a CT or MRI into a project, run one of several segmentation runs on a GPU on our side, and get a 3D result in a few minutes. You can refine the masks in an in-browser editor, share with a colleague, or even open it in VR. For research groups, they can work on the manual segmentation part in an editor created by radiologists. Then, once a few cases are done, they can train a model and run it on new cases, then correct them, start training again in an iterative loop, using state of the art nnUnet v2 architecture. What it's not: a regulatory-cleared clinical tool. This is for research, education, and exploration — not diagnosis. The stack is TotalSegmentator + FastSurfer + around 6 other open models + a custom web-based editor, with WebGL, running on a small GPU box. Happy to answer anything technical or walk through specific use cases.

About MedSeg on Product Hunt

AI segmentation for CT and MRI, by radiologists.

MedSeg was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #84 on the daily leaderboard. AI-assisted medical image segmentation built by radiologists. Pretrained CT and MRI models, nnInteractive, custom nnU-Net training, DICOM and NIfTI. Free for research.

On the analytics side, MedSeg competes within Artificial Intelligence, Medical and 3D Modeling — topics that collectively have 474.6k followers on Product Hunt. The dashboard above tracks how MedSeg performed against the three products that launched closest to it on the same day.

Who hunted MedSeg?

MedSeg was hunted by MedSeg. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of MedSeg including community comment highlights and product details, visit the product overview.