首页|First People’s Hospital Reports Findings in Breast Cancer (Comparative Analysis of Nomogram and Machine Learning Models for Predicting Axillary Lymph Node Metas tasis in Early-Stage Breast Cancer: A Study on Clinically and Ultrasound-Negativ e ...)
First People’s Hospital Reports Findings in Breast Cancer (Comparative Analysis of Nomogram and Machine Learning Models for Predicting Axillary Lymph Node Metas tasis in Early-Stage Breast Cancer: A Study on Clinically and Ultrasound-Negativ e ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Breast Canc er is the subject of a report. According to newsoriginating from Zhejiang, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Earlyand ac curate prediction of axillary lymph node metastasis (ALNM) is crucial in determi ning appropriatetreatment strategies for patients with early-stage breast cance r. The aim of this study was to evaluatethe efficacy of radiomic features extra cted from ultrasound (US) images combined with machine learning(ML) methods in predicting ALNM to improve diagnostic accuracy and patient prognosis.”
ZhejiangPeople’s Republic of ChinaAs iaBreast CancerCancerCyborgsEmerging TechnologiesHealth and MedicineHemic and Immune SystemsImmunologyLymph NodesLymphoid TissueMachine Lear ningOncologyUltrasoundWomen’s Health