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27 public repositories
matching this topic...
Multi-platform, free open source software for visualization and image computing.
Weakly Supervised Learning for Findings Detection in Medical Images
Updated
Aug 7, 2019
Python
Identifying diseases in chest X-rays using convolutional neural networks
Updated
Jan 7, 2018
Jupyter Notebook
Updated
May 23, 2020
Python
A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture
Updated
Jan 22, 2019
Python
Lung Extraction from Chest X-ray for Efficient Computing
Updated
May 13, 2019
Python
An R data package for NIH EXPORTER data
Latex templates for submitting the NIH F31 grant
DFW PPE: Dallas-area initiative to build PPE
Build a Reproducible Jupyter Workflow From Scratch (2017 NIH Hour of Code)
Updated
Jan 11, 2018
Jupyter Notebook
NIH Funding Visualization
Updated
Jun 6, 2017
MATLAB
Access the NIH ClinicalTrials.gov REST API
Source code for NIH SPARC Data Portal
Updated
Nov 7, 2018
Jupyter Notebook
Age-Related Macular Degeneration (AMD) Research using AREDS dataset provided by National Institute of Health (NIH).
Updated
Dec 5, 2018
Python
Expression-oriented language with Python backend
Updated
Oct 28, 2019
Python
job advert **not currently on offer**
An AI Bot that gives you information on medical drugs
Updated
Aug 25, 2019
JavaScript
Скрипт для управления docker-контейнерами.
Updated
Nov 3, 2018
Python
Directions and code for generic GDC data downloads.
Updated
Sep 25, 2019
Python
CMap2 Top Coder Data Science Marathon Match
💡 📓 Project Forge materials and planning
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I think the CaPTk needs to clarify the importance of resampling value in its calculations. Although this is a general concept, but a user should be able to rely on your documentation and use the software.
Please add an explanation about extrapolation/interpolation methods and it's positive and negative aspects for users.