Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography images

HIGHLIGHTS

  • who: Ziyang Hu from the Instituto de Telecomunicações, China, School of Electronic Science and Engineering have published the Article: Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography images, in the Journal: (JOURNAL)
  • what: The authors explored using CNN to diagnose parotid tumors on plain CT images. The model loss function was the cross-entropy loss function and the Random gradient descent (SGD) model optimization method was used. Compared with these CNN studies , the study had a relatively large sample size, more balanced benign and malignant parotid tumors and . . .

     

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