Breast tumor segmentation using neural cellular automata and shape guided segmentation in mammography images.

Journal: PloS one
Published Date: Oct 1, 2024

Abstract

PURPOSE: Using computer-aided design (CAD) systems, this research endeavors to enhance breast cancer segmentation by addressing data insufficiency and data complexity during model training. As perceived by computer vision models, the inherent symmetry and complexity of mammography images make segmentation difficult. The objective is to optimize the precision and effectiveness of medical imaging.

Authors

  • Mudassar Ali
    College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.
  • Tong Wu
    National Clinical Research Center for Obstetrical and Gynecological Diseases Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
  • Haoji Hu
    College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
  • Tariq Mahmood
    Faculty of Pharmacy, University of Central Punjab, Lahore, Pakistan.

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