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Tags: Medical imaging

1.OHIF / Viewers

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

nci-itcr
nci-qin
quantitative-imaging
imaging-informatics
cancer-imaging-research
dicom
+10 more

TypeScript MIT4.4K total4.4K forks

+266 stars

from 4,136 · score 5.59

2.vqdang / hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

Python MIT757 total275 forks

+49 stars

from 708 · score 3.91

3.suyashkumar / dicom

⚡High Performance DICOM Medical Image Parser in Go.

dicom
dicom-images
golang
golang-library
golang-package
parser
+10 more

Go MIT1.1K total172 forks

+41 stars

from 1,056 · score 3.74

4.hms-dbmi / viv

Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.

hubmap
imaging
openmicroscopy
ome-tiff
zarr
viv
+1 more

JavaScript MIT373 total65 forks

+30 stars

from 343 · score 3.43

5.PytorchConnectomics / pytorch_connectomics

PyTorch Connectomics: segmentation toolbox for EM connectomics

computer-vision
neuroscience
connectomics
pytorch
segmentation
biomedical-image-processing
+2 more

Python MIT202 total89 forks

+11 stars

from 191 · score 2.48

6.cornerstonejs / cornerstone

[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/

javascript
cornerstone
dicom
medical-imaging
nci-itcr

JavaScript MIT2.1K total589 forks

+7 stars

from 2,100 · score 2.08

7.axondeepseg / axondeepseg

Axon/Myelin segmentation using Deep Learning

deep-learning
machine-learning
myelin
axon
neuropoly
spinalcord
+5 more

Python MIT129 total34 forks

+4 stars

from 125 · score 1.61

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before the first daily record that AwesomeRepos made for the repository. A longer window needs more of these daily records first. A repository younger than the window does not rank in it.

The filters select from the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it. See Tags.

A new repository enters the index when it gains stars faster than the published admission threshold, whatever its size. A repository stays in the index after it enters. Thus an archived repository can still rank.

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