A machine learning-based approach for classification of focal splenic lesions based on their ct features

HIGHLIGHTS

• who: Tommaso Banzato from the University of California, Davis, United States have published the article: A Machine Learning-Based Approach for Classification of Focal Splenic Lesions Based on Their CT Features, in the Journal: (JOURNAL)
• what: In such a scenario, the aims of this study are: to describe the CT features of FSLs in dogs; to use machine_learning algorithms to describe the complex relationship existing between different FSL histotypes and their CT features; and_(3) to develop an easy-to-use algorithm for classifying FSLs based on their CT features. Criteria for inclusion in the . . .
  

   

  

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