The felix project: Deep networks to detect pancreatic neoplasms
Tens of millions of abdominal images are performed with computed tomography (CT) in the
US each year but pancreatic cancers are sometimes not initially detected in these images.
We here describe a suite of algorithms (named FELIX) that can recognize pancreatic lesions
from CT images without human input. Using FELIX,> 90% of patients with pancreatic ductal
adenocarcinomas were detected at a specificity of> 90% in patients without pancreatic
disease. FELIX may be able to assist radiologists in identifying pancreatic cancers earlier …
US each year but pancreatic cancers are sometimes not initially detected in these images.
We here describe a suite of algorithms (named FELIX) that can recognize pancreatic lesions
from CT images without human input. Using FELIX,> 90% of patients with pancreatic ductal
adenocarcinomas were detected at a specificity of> 90% in patients without pancreatic
disease. FELIX may be able to assist radiologists in identifying pancreatic cancers earlier …
以上显示的是最相近的搜索结果。 查看全部搜索结果