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

Papers: 10.3390/cancers13102447

https://doi.org/10.3390/cancers13102447

MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study

Cited by: 16
Author(s): R. Granzier, Abdalla Ibrahim, Sergey Primakov, Sanaz Samiei, Thiemo J A van Nijnatten, Maaike de Boer, E. M. Heuts, F J Hulsmans, A. Chatterjee, Philippe Lambin, Marc Lobbes, Henry C. Woodruff, Marjolein L. Smidt
Published: about 4 years ago

Software Mentions 6

cran: Boruta
Wrapper Algorithm for All Relevant Feature Selection
Papers that mentioned: 192
Very Likely Science (93)
cran: opencv
Bindings to 'OpenCV' Computer Vision Library
Papers that mentioned: 28
Very Likely Science (83)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
pypi: Boruta
Python Implementation of Boruta Feature Selection
Papers that mentioned: 192
Very Likely Science (80)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: SimpleITK
SimpleITK is a simplified interface to the Insight Toolkit (ITK) for image registration and segmentation
Papers that mentioned: 74
Very Likely Science (100)