Work

Deep learning for variational multimodality tumor segmentation in PET/CT

Year: 2019

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2018.10.099

Authors: Laquan Li, Xiangming Zhao, Wei Lu, Shan Tan

Institutions: Chongqing University of Posts and Telecommunications, Huazhong University of Science and Technology, Memorial Sloan Kettering Cancer Center

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Natural Science Foundation of China, National Institutes of Health, National Cancer Institute

Awards: G173165249, 锥形束CT图像重构中的最优多重正则理论及算法研究, G686557971, Cancer Center Support Grant

OpenAlex ID: W2941458854

FWCI: 8.536

Cites: 67

Cited by: 138

Related to: 10