Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 29, 2024Journal of Ultrasound in Medicine

Machine Learning Model for Predicting Axillary Lymph Node Metastasis in Clinically Node Positive Breast Cancer Based on Peritumoral Ultrasound Radiomics and SHAP Feature Analysis

View Full Paper
Ask AI
Bookmark
Share

Authors

SWSi‐Rui WangCCChun‐Li CaoTDTingting Du

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/68e67cc7b6db643587606f13https://doi.org/10.1002/jum.16483
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Predicting sentinel lymph node metastasis in breast cancer using an interpretable machine learning approach based on multi-domain clinical features2026
  2. 2Prediction of axillary lymph node metastasis in breast cancer based on radiomics: a multicenter study2026
  3. 3An explainable predictive machine learning model for axillary lymph node metastasis in breast cancer based on multimodal data: A retrospective single-center study2025
  4. 4A non-invasive preoperative prediction model for predicting axillary lymph node metastasis in breast cancer based on a machine learning approach: combining ultrasonographic parameters and breast gamma specific imaging features2024 · 7 citations
  5. 5Interpretable Machine Learning Models for Predicting Lateral Pelvic Lymph Node Metastasis in Rectal Cancer: A Chinese Multicenter Retrospective Study2025