Analysis of the Effectiveness of the Slope of the Concentric Circle Grey-Scale Fitting Curve in Breast Cancer Ultrasound Diagnosis
Research Article
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Analysis of the Effectiveness of the Slope of the Concentric Circle Grey-Scale Fitting Curve in Breast Cancer Ultrasound Diagnosis

Hongli Zeng 1*
1 Fujian Medical University
*Corresponding author: honglizeng@stu.fjmu.edu.cn
Published on 14 October 2025
Journal Cover
TNS Vol.141
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-80590-395-6
ISBN (Online): 978-1-80590-396-3
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Abstract

This study aims to improve the accuracy of breast cancer diagnosis by constructing a binary classification model through machine learning-based extraction of radiomic features from breast ultrasound images. A total of 780 breast ultrasound images from 600 female patients aged 25–75 years were selected and divided into "diseased" and "non-diseased" groups. Features including first-order statistics, morphological characteristics, texture parameters, and a self-created concentric grey-level fitting curve slope feature were extracted. Six classifiers, including SVM and KNN, were used to construct models, which were evaluated using ten-fold stratified cross-validation. Results showed that model performance improved across all approaches when incorporating the self-created feature. Notably, the LightGBM model exhibited enhanced discriminatory capability, with AUC increasing from 0.683 to 0.715. This indicates that machine learning-based radiomics feature extraction can effectively support breast cancer diagnosis.

Keywords:

breast cancer, ultrasound examination, traditional machine learning, concentric grey-scale fitting curve slope, radiomics, binary classification diagnosis

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Zeng,H. (2025). Analysis of the Effectiveness of the Slope of the Concentric Circle Grey-Scale Fitting Curve in Breast Cancer Ultrasound Diagnosis. Theoretical and Natural Science,141,1-10.

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Cite this article

Zeng,H. (2025). Analysis of the Effectiveness of the Slope of the Concentric Circle Grey-Scale Fitting Curve in Breast Cancer Ultrasound Diagnosis. Theoretical and Natural Science,141,1-10.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICBioMed 2025 Symposium: AI for Healthcare: Advanced Medical Data Analytics and Smart Rehabilitation

ISBN: 978-1-80590-395-6(Print) / 978-1-80590-396-3(Online)
Editor: Alan Wang
Conference date: 17 October 2025
Series: Theoretical and Natural Science
Volume number: Vol.141
ISSN: 2753-8818(Print) / 2753-8826(Online)