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Contextual Level-Set Method for Breast Tumor Segmentation

  • Published:2020 Issue: Volume:8 Page:189343-189353
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Hussain SumairaORCID,Xi XiaomingORCID,Ullah Inam,Wu YongjianORCID,Ren Chunxiao,Lianzheng Zhao,Tian Cuihuan,Yin YilongORCID

Funder

Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Shandong Province

Foundation of Distinguished Associate Professor in Shandong Jianzhu University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Segmentation-based BI-RADS ensemble classification of breast tumours in ultrasound images;International Journal of Medical Informatics;2024-09

2. PSO with Constriction Coefficient and EPFCM Clustering Based Segmentation of Medical Images Using Level Set Method;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

3. D-TransUNet: A Breast Tumor Ultrasound Image Segmentation Model Based on Deep Feature Fusion;Journal of Artificial Intelligence for Medical Sciences;2024

4. Breast Cancer Prediction Using a Deep Learning Algorithm on the Cloud Medical Data;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

5. Data augmentation guided breast tumor segmentation based on generative adversarial neural networks;Engineering Applications of Artificial Intelligence;2023-10
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