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Computer-based image analysis in breast pathology.

Ziba Gandomkar1, Patrick C Brennan1, Claudia Mello-Thoms2

  • 1Image Optimisation and Perception, Discipline of Medical Radiation Sciences, University of Sydney, Australia.

Journal of Pathology Informatics
|January 10, 2017
PubMed
Summary
This summary is machine-generated.

Whole slide imaging (WSI) enables digital pathology applications. Computer-assisted analysis of breast pathology slides shows promise for segmentation, classification, and prognosis, but requires further development for clinical use.

Keywords:
Breast pathologybreast virtual slidesimage analysiswhole slide imaging

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Area of Science:

  • Digital pathology
  • Computational pathology
  • Medical image analysis

Background:

  • Whole slide imaging (WSI) facilitates digital pathology applications including telepathology and image analysis.
  • The integration of computer-assisted analysis with WSI offers significant potential benefits for breast pathology.

Approach:

  • This review discusses the potential benefits of computer-assisted image analysis applied to digital breast pathology slides.
  • The approach focuses on applications such as segmentation, classification, prognosis, and immunohistochemical quantification.

Key Points:

  • Computer-assisted analysis can segment diagnostically relevant regions (e.g., nuclei, mitotic figures) in virtual slides.
  • Classification of breast cancer grades, invasive potential, and subtypes is a key application.
  • Prognostic prediction and immunohistochemical quantification are also explored.

Conclusions:

  • Encouraging results have been achieved in computer-assisted analysis of breast virtual slides.
  • Further advancements are necessary to ensure the clinical acceptability of these digital pathology tools.