Characterization of mediastinal bulky lymphomas with fdg-pet-based radiomics and machine learning techniques

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 . . .
  

   

  

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