Work

Borderline resectable pancreatic cancer: conceptual evolution and current approach to image-based classification

Year: 2017

Type: article

Source: Annals of Oncology

DOI: 10.1093/annonc/mdx180

Authors: J.W. Gilbert, B. Wolpin, T. Clancy, J. Wang, H. Mamon, A.B. Shinagare, J. Jagannathan, M. Rosenthal

Institutions: Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center

Language: English

Topic: Pancreatic and Hepatic Oncology Research

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Defense, National Institutes of Health, National Cancer Institute

Awards: G370776200, Altered metabolism and machine learning for pancreatic cancer early detection

OpenAlex ID: W2607422353

FWCI: 3.447

Cites: 74

Cited by: 101

Related to: 10