Publications by authors named "Zhong-Xuan Zhang"
J Healthc Eng
November 2019
Article Synopsis
- The study focuses on improving the classification of tumors in sonograms by addressing challenges like speckle noise and intensity inhomogeneity.
- A novel classification system uses intensity correction and a stacked denoising autoencoder (SDAE) to enhance feature extraction from sonograms.
- Results indicate that preprocessing images before applying deep learning significantly boosts the accuracy in distinguishing benign from malignant tumors compared to using original, unprocessed images.
