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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1038/s41598-020-80308-y

https://doi.org/10.1038/s41598-020-80308-y

A novel retinal ganglion cell quantification tool based on deep learning

Cited by: 22
Author(s): Luca Masin, Marie Claes, Steven Bergmans, Lien Cools, Lien Andries, Benjamin Davis, Lieve Moons, Lies De Groef
Published: over 4 years ago

Software Mentions 10

cran: psych
Procedures for Psychological, Psychometric, and Personality Research
Papers that mentioned: 1,085
Very Likely Science (100)
cran: quantification
Quantification of Qualitative Survey Data
Papers that mentioned: 4
Very Likely Science (75)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: scikit-image
Image processing in Python
Papers that mentioned: 195
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: seaborn
Statistical data visualization
Papers that mentioned: 283
Very Likely Science (100)
pypi: statsmodels
Statistical computations and models for Python
Papers that mentioned: 277
Very Likely Science (90)