HIGHLIGHTS
- who: Elisabetta Maria Abenavoli et al. from the University of, Italy have published the research: Characterization of Mediastinal Bulky Lymphomas with FDG-PET-Based Radiomics and Machine Learning Techniques, in the Journal: (JOURNAL)
- what: The analysis showed significant differences between the lymphoma groups in terms of SUVmax SUVmean MTV TLG and several textural features of both first- and second-order grey level. Using radiomic features to feed ML algorithms, the authors aimed to build a radiomics-based histological representation of mediastinal bulky masses despite the presence of not completely disjoint lymphoma types. The study was . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.