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

no code implementations • 29 Jul 2021 • Ching-Kai Lin, Shao-Hua Wu, Jerry Chang, Yun-Chien Cheng

To process the EBUS data in the form of a video and appropriately integrate the features of multiple imaging modes, we used a time-series three-dimensional convolutional neural network (3D CNN) to learn the spatiotemporal features and design a variety of architectures to fuse each imaging mode.

Time Series Analysis