Papers: 10.1371/journal.pone.0217702
https://doi.org/10.1371/journal.pone.0217702
Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization
Cited by: 71
Author(s): Jussi Toivonen, Ileana Montoya Perez, Parisa Movahedi, Harri Merisaari, M. Pesola, Pekka Taimen, Peter J. Boström, Jonne Pohjankukka, Aida Kiviniemi, Tapio Pahikkala, Hannu J. Aronen, Ivan Jambor
Published: about 6 years ago
Software Mentions 2
Very Likely Science (75)
pypi: dlib
A toolkit for making real world machine learning and data analysis applicationsPapers that mentioned: 33
Very Likely Science (100)