most citedThe interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions

2 citations · 2 across the 1 of their papers we have counts for

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eess.IV2021★ 2 cited

The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions

Ching-Kai Lin, Shao-Hua Wu, Jerry Chang +1

The purpose of this study is to differentiate malignant and benign mediastinal lesions by using the three-dimensional convolutional neural network through the endobronchial ultraso…