Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning

Conclusion: Machine learning, particularly the multifeature fusion SVM model, shows significant potential in diagnosing new nodules after breast cancer surgery. It can assist doctors in developing more effective treatment plans, improving patient outcomes. Future studies should expand sample sizes,...

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Main Authors: Zhixiang Wang, Qingqing Li, Yiran Wang, Linxue Qian, Xiangdong Hu, Dong Liu
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:The Breast Journal
Online Access:http://dx.doi.org/10.1155/tbj/8511049
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author Zhixiang Wang
Qingqing Li
Yiran Wang
Linxue Qian
Xiangdong Hu
Dong Liu
author_facet Zhixiang Wang
Qingqing Li
Yiran Wang
Linxue Qian
Xiangdong Hu
Dong Liu
author_sort Zhixiang Wang
collection DOAJ
description Conclusion: Machine learning, particularly the multifeature fusion SVM model, shows significant potential in diagnosing new nodules after breast cancer surgery. It can assist doctors in developing more effective treatment plans, improving patient outcomes. Future studies should expand sample sizes, include multicenter data, and explore advanced algorithms to further enhance diagnostic performance.
format Article
id doaj-art-16b9c1b74fa343aba6985e182fa7e8a2
institution OA Journals
issn 1524-4741
language English
publishDate 2025-01-01
publisher Wiley
record_format Article
series The Breast Journal
spelling doaj-art-16b9c1b74fa343aba6985e182fa7e8a22025-08-20T02:15:38ZengWileyThe Breast Journal1524-47412025-01-01202510.1155/tbj/8511049Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine LearningZhixiang Wang0Qingqing Li1Yiran Wang2Linxue Qian3Xiangdong Hu4Dong Liu5Department of UltrasoundDepartment of UltrasoundHonors CollegeDepartment of UltrasoundDepartment of UltrasoundDepartment of UltrasoundConclusion: Machine learning, particularly the multifeature fusion SVM model, shows significant potential in diagnosing new nodules after breast cancer surgery. It can assist doctors in developing more effective treatment plans, improving patient outcomes. Future studies should expand sample sizes, include multicenter data, and explore advanced algorithms to further enhance diagnostic performance.http://dx.doi.org/10.1155/tbj/8511049
spellingShingle Zhixiang Wang
Qingqing Li
Yiran Wang
Linxue Qian
Xiangdong Hu
Dong Liu
Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning
The Breast Journal
title Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning
title_full Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning
title_fullStr Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning
title_full_unstemmed Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning
title_short Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning
title_sort diagnosis of benign and malignant newly developed nodules on the surgical side after breast cancer surgery based on machine learning
url http://dx.doi.org/10.1155/tbj/8511049
work_keys_str_mv AT zhixiangwang diagnosisofbenignandmalignantnewlydevelopednodulesonthesurgicalsideafterbreastcancersurgerybasedonmachinelearning
AT qingqingli diagnosisofbenignandmalignantnewlydevelopednodulesonthesurgicalsideafterbreastcancersurgerybasedonmachinelearning
AT yiranwang diagnosisofbenignandmalignantnewlydevelopednodulesonthesurgicalsideafterbreastcancersurgerybasedonmachinelearning
AT linxueqian diagnosisofbenignandmalignantnewlydevelopednodulesonthesurgicalsideafterbreastcancersurgerybasedonmachinelearning
AT xiangdonghu diagnosisofbenignandmalignantnewlydevelopednodulesonthesurgicalsideafterbreastcancersurgerybasedonmachinelearning
AT dongliu diagnosisofbenignandmalignantnewlydevelopednodulesonthesurgicalsideafterbreastcancersurgerybasedonmachinelearning