SBU-BMI/fhir

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Rank 3,288,944 (Top 65 %)
Language
JavaScript
Created over 9 years ago
Updated about 8 years ago

SBU-BMI/fhir

SBU-BMI

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playing with FIHR, HL7 new standard for HTTP-REST data services

wsinfer

🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images

quip_cnn_segmentation

CNN based segmentation codes

champkit

Benchmarking toolkit for patch-based histopathology image classification.

u24_lymphocyte

quip_distro

quip_cancer_segmentation

Nanoborb

quip_paad_cancer_detection

histopathology_analysis

Deep learning methods for histopathology image analysis

MappingOHDSI2HDF5

Build JSON mappings for mapping OHDSI tables to HDF5

Jupyter Notebook

nscale

Libraries of high performance analysis methods

quip_classification

SlicerPathology

3D Slicer extension for Pathology segmentation tools

region-templates

Region Templates development

deep_survival_analysis

Survival analysis with deep learning

quip_prad_cancer_detection

PathDB

pyradiomics_features

multi_instance_cnn

QuIPImageFetch

tumor-til-survival-analysis

Scripts to run analysis of tumor/TILs.

wsinfer-zoo

Model zoo for WSInfer

GSoC2016-Andrey

Google Summer of Code for Andrey

imageHub

Repository for tissue patches & nuclear feature analysis.

sbu-bmi.github.com

landing repository for the department

featurescape

Interactive representation and analysis of feature landscapes

healthBit

Web-based aggregation of mobile/wearable data streams for Biomedical Informatics applications