Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation

no code implementations • 18 Jun 2022 • Yingao Liu, Fei Yang, Yidong Yang

The lesion synthesis framework was evaluated for lesion textures, and the synthetic lesions were used to train a lesion segmentation network to further validate the effectiveness of this framework.

Generative Adversarial Network Lesion Segmentation +2

Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT

no code implementations • 11 Dec 2021 • Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen

Correlations between imaging findings and clinical lab tests suggested the value of this system as a potential tool to assess disease severity of COVID-19.

Data Augmentation Lesion Segmentation

Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network

no code implementations • 23 Nov 2021 • Chengyijue Fang, Yingao Liu, Mengqiu Liu, Xiaohui Qiu, Ying Liu, Yang Li, Jie Wen, Yidong Yang

The lung volume volume was firstly delineated using a pre-trained U-net and worked as the input for the later network.

Decision Making Generative Adversarial Network +2