Machine learning-based CT texture analysis in the differentiation of testicular masses
Can Hu,
Xiaomeng Qiao,
Zhenyu Xu
et al.
Abstract:PurposeTo evaluate the ability of texture features for distinguishing between benign and malignant testicular masses, and furthermore, for identifying primary testicular lymphoma in malignant tumors and identifying seminoma in testicular germ cell tumors, respectively.MethodsWe retrospectively collected 77 patients with an abdominal and pelvic enhanced computed tomography (CT) examination and a histopathologically confirmed testicular mass from a single center. The ROI of each mass was split into two parts by … Show more
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