Work

A deep learning-based automated pipeline for colorectal cancer detection in contrast-enhanced CT images

Year: 2026

Type: article

Source: Computerized Medical Imaging and Graphics

DOI: 10.1016/j.compmedimag.2026.102717

Authors: Chenhui Qiu, Sarah Miller, Barathi Subramanian, Angela Ryu, Haiyu Zhang, George A. Fisher, Nigam H. Shah, John Mongan, Curtis Langlotz, Peter Poullos, Jeanne Shen

Institutions: Stanford Medicine, Stanford University, University of California, San Francisco

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Foundation for the National Institutes of Health, Zhejiang Normal University, National Institutes of Health, National Cancer Institute

Awards: G7764982504, Multi-modal machine learning to guide adjuvant therapy in surgically resectable colorectal cancer

OpenAlex ID: W7125676148

FWCI: 13.45

Cites: 31

Cited by: 4

Related to: 10