Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.3390/cancers13102419

https://doi.org/10.3390/cancers13102419

Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images

Cited by: 16
Author(s): Georg Steinbuß, Mark Kriegsmann, Christiane Zgorzelski, Alexander Brobeil, Benjamin Goeppert, Sascha Dietrich, Gunhild Mechtersheimer, Katharina Kriegsmann
Published: over 3 years ago

Software Mentions 18

cran: config
Manage Environment Specific Configuration Values
Papers that mentioned: 33
cran: data.tree
General Purpose Hierarchical Data Structure
Papers that mentioned: 4
cran: dplyr
A Grammar of Data Manipulation
Papers that mentioned: 1,213
cran: jpeg
Read and write JPEG images
Papers that mentioned: 27
cran: jsonlite
A Simple and Robust JSON Parser and Generator for R
Papers that mentioned: 36
cran: readbitmap
Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG,TIFF)
Papers that mentioned: 3
cran: tensorflow
R Interface to 'TensorFlow'
Papers that mentioned: 71
cran: tibble
Simple Data Frames
Papers that mentioned: 47
cran: tidyr
Tidy Messy Data
Papers that mentioned: 321
pypi: conda
OS-agnostic, system-level binary package manager.
Papers that mentioned: 92
pypi: config
A hierarchical, easy-to-use, powerful configuration module for Python
Papers that mentioned: 33
pypi: jpeg
read/write jpeg COM, EXIF, IPTC medata
Papers that mentioned: 27
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
pypi: Pillow
Python Imaging Library (Fork)
Papers that mentioned: 22
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
pypi: tabulate
Pretty-print tabular data
Papers that mentioned: 2
pypi: tensorflow
TensorFlow is an open source machine learning framework for everyone.
Papers that mentioned: 71
pypi: tf-explain
Interpretability Callbacks for Tensorflow 2.0
Papers that mentioned: 4