suyashkumar

5 ms·

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Show HN: Jules AI GitHub Actions(github.com)
6 points by suyashkumar 10mo ago|0 comments
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Show HN: My Receipts AI – Auto Extract and Categorize Receipt Line Items(myreceipts.ai)
3 points by suyashkumar 2y ago|0 comments
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Show HN: Google Clinical Quality Language Interpreter in Go(github.com)
4 points by suyashkumar 2y ago|1 comments
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by suyashkumar 6y ago
Thanks for the kind words! I will definitely check out wolfpacs. As for your question: I've run into a couple scenarios that require "lookback" into the parsed Dataset to parse correctly. For example, parsing Native PixelData
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by suyashkumar 6y ago
You may be able to find some longitudinal data sets at The Cancer Imaging Archive: https://www.cancerimagingarchive.net/ (some are also already preloaded into Google Cloud buckets: https://cloud.google.com/h
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by suyashkumar 6y ago
Indeed, there are some good sources of public, deidentified medical images released under various generally permissive licenses. I've found The Cancer Imaging Archive to be very useful in this regard: https://www.cancerimagi
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Show HN: Dicom Medical Image Library in Go(github.com)
108 points by suyashkumar 6y ago|24 comments
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Show HN: Fetch GitHub release binaries using wget/curl for your os/arch(github.com)
1 points by suyashkumar 7y ago|0 comments
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by suyashkumar 7y ago
Thanks!
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by suyashkumar 7y ago
Of course, and sweet thanks! Open to ideas and contribs as well!
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by suyashkumar 7y ago
Great work as always!
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by suyashkumar 7y ago
Thanks, that sounds awesome. Rust seems like an interesting language, haven't really had the chance to dive too deep into it recently though. Go programs can also compile down to webassembly, so looking forward to playing with that as
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by suyashkumar 7y ago
Thanks! Totally open to suggestions or contribs!
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by suyashkumar 7y ago
Perhaps sending structured slices of dicoms to downstream microservices (or clients), Tensorflow inputs, perhaps in other places too? Proto representations of data can be nice because they are super easy to unpack (way easier than a dicom d
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by suyashkumar 7y ago
likewise, I'm a huge fan of innolitics and their dicom browser. It's awesome and has helped me a lot!
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by suyashkumar 7y ago
Indeed, DICOM is a beast of a spec. Dicomtk is a solid reference implementation in C++ imo, but a bit difficult to work with sometimes. The goal here is to have a featured implementation in Go that's easy to work with as a library and
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by suyashkumar 7y ago
Thanks! Indeed, right now if you're opening a DICOM with Native PixelData the API gives you the raw PixelData without manipulating (normalizing) it. This is so that you can apply WindowWith and WindowCenter settings to your choosing, s
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Show HN: DICOM Medical Image Parser in Go(github.com)
142 points by suyashkumar 7y ago|36 comments
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Show HN: High Performance Dicom Medical Image Parser in Go(github.com)
4 points by suyashkumar 7y ago|0 comments
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Show HN: Lightweight SSL/TLS Reverse Proxy with Autogen Certs (LetsEncrypt)(github.com)
5 points by suyashkumar 7y ago|0 comments
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Show HN: Use curl/wget to get appropriate GitHub released binaries(github.com)
1 points by suyashkumar 8y ago|0 comments
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Show HN: Download latest GitHub release binaries (for OS/arch) with wget or curl(github.com)
1 points by suyashkumar 8y ago|0 comments
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by suyashkumar 8y ago
A simple, single-command SSL/TLS reverse proxy in Go for fun. Handy in a pinch when running jupyter notebooks (usually self-signed certs) or other services I want to slap SSL/TLS onto. Got tired of apache/nginx configs and of
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Show HN: Single Command SSL/TLS Reverse Proxy with Autogen'd Certs (Golang)(github.com)
13 points by suyashkumar 8y ago|1 comments
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Jenkins container with ability to run docker builds and SSL
2 points by suyashkumar 9y ago|0 comments