SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images

no code implementations • 15 Nov 2020 • Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu

We first generate MRI images on limited datasets, then we trained three popular classification models to get the best model for tumor classification.

Data Augmentation General Classification +2

Efficient Medical Image Segmentation with Intermediate Supervision Mechanism

no code implementations • 15 Nov 2020 • Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu

However, U-Net is mainly engaged in segmentation, and the extracted features are also targeted at segmentation location information, and the input and output are different.

Image Segmentation Medical Image Segmentation +2

Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey

no code implementations • 2 Nov 2020 • Dan Zhao, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu

Computer-Aided Diagnosis and Treatment of Tumors is a hot topic of deep learning in recent years, which constitutes a series of medical tasks, such as detection of tumor markers, the outline of tumor leisures, subtypes and stages of tumors, prediction of therapeutic effect, and drug development.