Work

Improving Computer-aided Detection for Digital Breast Tomosynthesis by Incorporating Temporal Change

Year: 2024

Type: article

Abstract: To develop a deep learning algorithm that uses temporal information to improve the performance of a previously published framework of cancer lesion detection for digital breast tomosynthesis.

Source: Radiology Artificial Intelligence

DOI: 10.1148/ryai.230391

Authors: Yinhao Ren, Zisheng Liang, Jun Ge, Xiaoming Xu, Jonathan Go, Derek L. Nguyen, Joseph Y. Lo, Lars J. Grimm

Institution: Duke University

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

Funder: National Cancer Institute

Award: G3792236282

OpenAlex ID: W4401578317

FWCI: 0.739

Cites: 14

Cited by: 5

Related to: 10