ViewersThe OHIF Medical Imaging Viewer is for viewing medical images. It can retrieve
and load images from most sources and formats; render sets in 2D, 3D, and
reconstructed representations; allows for the manipulation, annotation, and
serialization of observations; supports internationalization, OpenID Connect,
offline use, hotkeys, and many more features.
Stars: ✭ 1,753 (+2012.05%)
civic-serverBackend Server for CIViC Project
Stars: ✭ 39 (-53.01%)
civic-clientWeb client for CIViC: Clinical Interpretations of Variants in Cancer
Stars: ✭ 49 (-40.96%)
cellfinderAutomated 3D cell detection and registration of whole-brain images
Stars: ✭ 122 (+46.99%)
shiny-iatlasAn interactive web portal for exploring immuno-oncology data
Stars: ✭ 43 (-48.19%)
2020plusClassifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Stars: ✭ 44 (-46.99%)
Open-ImagingTools and libraries that deal with the creation and processing of images.
Stars: ✭ 100 (+20.48%)
oncoEnrichRCancer-dedicated gene set interpretation
Stars: ✭ 35 (-57.83%)
PyAbelA python package for Abel and inverse Abel transforms
Stars: ✭ 74 (-10.84%)
imaging toolsA table containing imaging analysis tools for biology, with a focus on calcium imaging.
Stars: ✭ 15 (-81.93%)
GenomicDataCommonsProvide R access to the NCI Genomic Data Commons portal.
Stars: ✭ 64 (-22.89%)
PlanetaryImagerQt capture software for astronomy, mainly planetary shooting
Stars: ✭ 45 (-45.78%)
napari-hubDiscover, install, and share napari plugins
Stars: ✭ 44 (-46.99%)
OADCollection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.
Stars: ✭ 90 (+8.43%)
civicmineText mining cancer biomarkers for the CIVIC database
Stars: ✭ 19 (-77.11%)
mageriMAGERI - Assemble, align and call variants for targeted genome re-sequencing with unique molecular identifiers
Stars: ✭ 19 (-77.11%)
mcSIMCode for running a multicolor structured illumination microscopy (SIM) experiment using a DLP6500 digital micromirror device (DMD) and performing SIM reconstruction.
Stars: ✭ 19 (-77.11%)
lung-image-analysisA basic framework for pulmonary nodule detection and characterization in CT
Stars: ✭ 26 (-68.67%)
Front-EndFederated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
Stars: ✭ 35 (-57.83%)
SlicerSALTAn open-source, free comprehensive software that will allow biomedical scientists to precisely locate shape changes in their imaging studies. This software called Slicer Shape AnaLysis Toolbox (SlicerSALT), will enhance the intuitiveness and ease of use for such studies, as well as allow researchers to find shape changes with higher statistical …
Stars: ✭ 37 (-55.42%)
GeneFuseGene fusion detection and visualization
Stars: ✭ 90 (+8.43%)
SlicerITKUltrasoundUltrasound image formation, processing, and analysis. Interfaces built off the ITKUltrasound library.
Stars: ✭ 18 (-78.31%)
RaCatNo description or website provided.
Stars: ✭ 18 (-78.31%)
PROSTATEx masksLesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.
Stars: ✭ 42 (-49.4%)
OmiEmbedMulti-task deep learning framework for multi-omics data analysis
Stars: ✭ 16 (-80.72%)
img2ffuConverts raw image (img) files into full flash update (FFU) files
Stars: ✭ 27 (-67.47%)
superacao-appAplicativo para o projeto "Anjos do SuperAção"
Stars: ✭ 17 (-79.52%)
smartas📓Notebook of Climente-González et al. (2017), The Functional Impact of Alternative Splicing in Cancer.
Stars: ✭ 13 (-84.34%)
dicomweb-pacsEasy to use DICOMWEB enabled PACS with DIMSE services based on sqlite database
Stars: ✭ 42 (-49.4%)
Quantitative-Big-Imaging-2018(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018
Stars: ✭ 50 (-39.76%)
bidscoinBIDScoin converts your source-level neuroimaging data to BIDS
Stars: ✭ 75 (-9.64%)
hotspot3d3D hotspot mutation proximity analysis tool
Stars: ✭ 43 (-48.19%)
Radiomics-research-by-using-PythonRadiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.
Stars: ✭ 27 (-67.47%)
DICOM.jlJulia package for reading and writing DICOM (Digital Imaging and Communications in Medicine) files
Stars: ✭ 45 (-45.78%)
classifying-cancerA Python-Tensorflow neural network for classifying cancer data
Stars: ✭ 30 (-63.86%)
DIRTDigital Imaging of Root Traits: Extract trait measurements from images of monocot and dicot roots.
Stars: ✭ 20 (-75.9%)
ci4cc-informatics-resourcesCommunity-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing.
Stars: ✭ 22 (-73.49%)
libsrcnnSuper-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.
Stars: ✭ 14 (-83.13%)
IARC-nfList of IARC bioinformatics nextflow pipelines
Stars: ✭ 34 (-59.04%)
MRQyMRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.
Stars: ✭ 58 (-30.12%)
MINTIEMethod for Identifying Novel Transcripts and Isoforms using Equivalence classes, in cancer and rare disease.
Stars: ✭ 24 (-71.08%)
fkMigration.jlA Julia project demonstrating the fast f-k migration algorithm.
Stars: ✭ 64 (-22.89%)
cpsrCancer Predisposition Sequencing Reporter (CPSR)
Stars: ✭ 44 (-46.99%)
OpenGnsysOpenGnsys (pronounced Open Genesis) is a free and open source project that provides tools for managing and deploying different operating systems.
Stars: ✭ 15 (-81.93%)
SlicerVirtualRealityA Slicer extension that enables user to interact with a Slicer scene using virtual reality.
Stars: ✭ 70 (-15.66%)
cancer-dataTCGA data acquisition and processing for Project Cognoma
Stars: ✭ 17 (-79.52%)
easylearn devEasylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other…
Stars: ✭ 29 (-65.06%)
RNAseq titration resultsCross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously
Stars: ✭ 22 (-73.49%)
Slicer-DeepInfer3D Slicer Module for connecting to model repository and use models for image analysis.
Stars: ✭ 23 (-72.29%)
ClarityNLPAn NLP framework for clinical phenotyping. Docker | Python | Solr | OMOP. http://claritynlp.readthedocs.io/en/latest/
Stars: ✭ 100 (+20.48%)
cacaoCallable Cancer Loci - assessment of sequencing coverage for actionable and pathogenic loci in cancer
Stars: ✭ 21 (-74.7%)
CornerstoneJavaScript library to display interactive medical images including but not limited to DICOM
Stars: ✭ 1,690 (+1936.14%)
arribaFast and accurate gene fusion detection from RNA-Seq data
Stars: ✭ 162 (+95.18%)