MRI Image Viewer in Go

Hacker News

Hi HN, I broke my leg skiing this weekend, and in the time that I was waiting for radiologist to explain my MRI results to me, I ended up writing a simple MRI image viewer to see for myself what was going on with my knee. https://github.com/kirillzubovsky/dicom-viewer The fact that was given a CD with my images, but they were all in some obscure binary format and the only way to view them was on windows, did not really sit well with me. If anyone here has MRI images they'd like to view, and you want to try this out, please do. I'd love for more people to collaborate and to make it something interesting. Hopefully thus of us who needed this in the past won't need it in the future, but if we build on top of each other's misery, it could be a game changer for someone in the future. Let me know what you think, ideas, suggestions ...etc. I don't really open-source software usually, so if you want to guide me to make it better, I am all ears. Thanks!

Visit product View on Hacker NewsMar 28, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: open, plain · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

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Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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