Texture features plays an important role in radiomics. To make the texture features rotation-invariant, pyradiomics computes the texture features along all directions and use their mean values. In this study, we demonstrated that maximum and minimum values of these features along different directions, which is also rotation-invariant, may provide added value to radiomics studies. We trained models using mean, maximum and minimum values of texture features along different directions to classify clinically significant (CS) prostate cancer (PCa) and non-CS PCa on PROSTATEx dataset. We found that using extremum instead of mean texture features improved the performance of model.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords