Correction to “Machine Learning Model for Predicting Axillary Lymph Node Metastasis in Clinically Node Positive Breast Cancer Based on Peritumoral Ultrasound Radiomics and SHAP Feature Analysis”
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引用次数: 0
Abstract
Wang SR, Cao CL, Du TT, et al. Machine learning model for predicting axillary lymph node metastasis in clinically node positive breast cancer based on peritumoral ultrasound radiomics and SHAP feature analysis. J Ultrasound Med. 2024;43(9):1611–1625. doi:10.1002/jum.16483
The author attributions should have been written as: “Si-Rui Wang†, BMed, Chun-Li Cao†, MM, Ting-Ting Du, MM, Jin-Li Wang, BMed, Jun Li, PhD, Wen-Xiao Li, MM, Ming Chen, MM. †These authors have contributed equally to this work.”
期刊介绍:
The Journal of Ultrasound in Medicine (JUM) is dedicated to the rapid, accurate publication of original articles dealing with all aspects of medical ultrasound, particularly its direct application to patient care but also relevant basic science, advances in instrumentation, and biological effects. The journal is an official publication of the American Institute of Ultrasound in Medicine and publishes articles in a variety of categories, including Original Research papers, Review Articles, Pictorial Essays, Technical Innovations, Case Series, Letters to the Editor, and more, from an international bevy of countries in a continual effort to showcase and promote advances in the ultrasound community.
Represented through these efforts are a wide variety of disciplines of ultrasound, including, but not limited to:
-Basic Science-
Breast Ultrasound-
Contrast-Enhanced Ultrasound-
Dermatology-
Echocardiography-
Elastography-
Emergency Medicine-
Fetal Echocardiography-
Gastrointestinal Ultrasound-
General and Abdominal Ultrasound-
Genitourinary Ultrasound-
Gynecologic Ultrasound-
Head and Neck Ultrasound-
High Frequency Clinical and Preclinical Imaging-
Interventional-Intraoperative Ultrasound-
Musculoskeletal Ultrasound-
Neurosonology-
Obstetric Ultrasound-
Ophthalmologic Ultrasound-
Pediatric Ultrasound-
Point-of-Care Ultrasound-
Public Policy-
Superficial Structures-
Therapeutic Ultrasound-
Ultrasound Education-
Ultrasound in Global Health-
Urologic Ultrasound-
Vascular Ultrasound