Article

Transformer-based Deep Learning Model Using Contrast-enhanced US for Predicting Malignancy in Breast Nodules: A Two-center Study

2025-12-02

Abstract excerpt

<title>Abstract</title> <p>Objective To evaluate a novel multichannel deep learning (DL) model using contrast-enhanced ultrasound (CEUS) data with multiple regions of interest (ROIs) and time-intensity curve (TIC)-derived key frames for predicting breast nodule malignancy. Clinical features were integrated into a combined model for robust, generalizable breast lesion classification. Materials and methods This ret...

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Literature Corpus work: 15a3f70b-c1b1-5521-a381-49be29dc79e2
DOI: 10.21203/rs.3.rs-8005283/v1

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