This shareable PDF can be hosted on any platform or network and is fully compliant with publisher copyright.
This publication has not yet been explained in plain language by the author(s). However, you can still read the publication.
If you are one of the authors, claim this publication so you can create a plain language summary to help more people find, understand and use it.
This page is a summary of: Supplementary Data from Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology, March 2023, American Association for Cancer Research (AACR),
DOI: 10.1158/1078-0432.22476903.
You can read the full text:
The following have contributed to this page
