Levels Propagation Approach to Image Segmentation: Application to Breast MR Images

  title={Levels Propagation Approach to Image Segmentation: Application to Breast MR Images},
  author={Fatah Bouchebbah and H. Slimani},
  journal={Journal of Digital Imaging},
  • Fatah Bouchebbah, H. Slimani
  • Published 2018
  • Computer Science, Medicine
  • Journal of Digital Imaging
  • Accurate segmentation of a breast tumor region is fundamental for treatment. Magnetic resonance imaging (MRI) is a widely used diagnostic tool. In this paper, a new semi-automatic segmentation approach for MRI breast tumor segmentation called Levels Propagation Approach (LPA) is introduced. The introduced segmentation approach takes inspiration from tumor propagation and relies on a finite set of nested and non-overlapped levels. LPA has several features: it is highly suitable to… CONTINUE READING
    1 Citations


    Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed.
    • 42
    A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI
    • Ning Yu, J. Wu, +7 authors D. Kontos
    • Computer Science, Engineering
    • Medical Imaging
    • 2015
    • 11
    Computer-Aided Segmentation System for Breast MRI Tumour using Modified Automatic Seeded Region Growing (BMRI-MASRG)
    • 32
    • Highly Influential
    Interactive lesion segmentation on dynamic contrast enhanced breast MRI using a Markov model
    • 23
    IMPST: A New Interactive Self-Training Approach to Segmentation Suspicious Lesions in Breast MRI
    • 21
    • PDF
    A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images.
    • 190
    • Highly Influential
    Detection and Shape Feature Extraction of Breast Tumor in Mammograms
    • 23
    • PDF