Robust segmentation of cancer affected white blood cells using modified level set algorithm

No abstract is available for this paper.

• Publication year

  2013

• Venue

  International journal of simulation: systems, science and technology

• Publication date

  2013-02-28

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.5013/ijssst.a.14.01.02
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Medical Image Segmentation using Marker Controlled Watershed Transformation

  2011cited by this paper
• Quantitative neurite outgrowth measurement based on image segmentation with topological dependence

  2009cited by this paper
• Boundary-based image segmentation using binary level set method

  2007cited by this paper
• Hierarchical, model‐based merging of multiple fragments for improved three‐dimensional segmentation of nuclei

  2005cited by this paper
• Algorithms for Cytoplasm Segmentation of Fluorescence Labelled Cells

  2002cited by this paper
• IEEE conference on computer vision and pattern recognition

  2000cited by this paper

• Segmentation techniques for morphometric measurements of blood cells: Overview and research challenges

  2022cites this paper
• Evaluation and benchmarking of level set-based three forces via geometric active contours for segmentation of white blood cell nuclei shape

  2020cites this paper
• Segmentation of White Blood Cell, Nucleus and Cytoplasm in Digital Haematology Microscope Images: A Review–Challenges, Current and Future Potential Techniques

  2020cites this paper
• Automatic Segmentation and Classification of White Blood Cells in Peripheral Blood Samples

  2018cites this paper
• White Blood Cell Nuclei Segmentation Using Level Set Methods and Geometric Active Contours

  2016cites this paper
• Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine

  2015influential citation
• Modified segmentation algorithm and its feature extraction of cancer affected white blood cells

  2014cites this paper