Work

Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography

Year: 2024

Type: article

Study design: Observational Study

Source: Ultrasound Quarterly

DOI: 10.1097/ruq.0000000000000683

Authors: Priscilla Machado, Aylin Tahmasebi, Samuel Fallon, Ji-Bin Liu, Basak E. Dogan, Laurence Needleman, Melissa Lazar, Alliric I. Willis, Kristin Brill, Susanna Nazarian, Adam Berger, Flemming Forsberg

Institutions: Thomas Jefferson University, The University of Texas Southwestern Medical Center, Rutgers, The State University of New Jersey, Rutgers Cancer Institute

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: closed

OpenAlex ID: W4400279891

FWCI: 0.736

Cites: 57

Cited by: 5

Related to: 10