Accurate and Feasible Deep Learning Based Semi-Automatic Segmentation in CT for Radiomics Analysis in Pancreatic Neuroendocrine Neoplasms

Huang, BS; Lin, XY; Shen, JX; Chen, X; Chen, J; Li, ZP; Wang, MY; Yuan, CL; Diao, XF; Luo, YJ; Feng, ST

Diao, XF (corresponding author), Shenzhen Univ, Sch Med, Guangdong Key Lab Biomed Measurements & Ultrasoun, Natl Reg Key Technol Engn Lab Med Ultrasound, Shenzhen 518060, Peoples R China.; Luo, YJ; Feng, ST (corresponding author), Sun Yat Sen Univ, Affiliated Hosp 1, Dept Radiol, Guangzhou 510275, Peoples R China.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021; 25 (9): 3498

Abstract

Current clinical practice or radiomics studies of pancreatic neuroendocrine neoplasms (pNENs) require manual delineation of the lesions in computed to......

Full Text Link


Links

期刊讨论 | 中国SCI论文 | 期刊主页 | 投稿经验 | 杂志官网 | 投稿链接 | 作者需知 | PMC链接 | Pubmed全文检索