This workshop is partially supported
by Australian Research Council,
discovery project DP140102794 &
ARC Future Fellowship (FT110100623).
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Summary of the Results

There are totally 13 teams registered the challenge this year, and 2 of them successfully submitted algorithms.

Evaluation Method

  • Dataset: 9 multi-layer cervical cell volumes are used in testing.

  • Good Segmentation: a ‘‘good’’ segmentation is considered to be one with a DC>0.7.

  • Abbreviations:

    • FNo: object-based False negative rate

    • TPp: pixel-based True positive rate

    • FPp: pixel-based False positive rate

Quantitative Comparison

Table II - Cytoplasm

Dice FNo TPp FPp
Phoulady et al. 0.831±0.079 0.408±0.163 0.927±0.098 0.003±0.002
Ushizima et al. 0.856±0.078 0.501±0.180 0.899±0.113 0.002±0.001

Ranking

  1. Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton. AN APPROACH FOR OVERLAPPING CELL SEGMENTATION IN MULTI-LAYER CERVICAL CELL VOLUMES. PDF

  2. Geraldo L. B. Ramalho, Daniel S. Ferreira, Andrea G. C. Bianchi, Claudia M. Carneiro, Fátima N. S. Medeiros, Daniela M. Ushizima. CELL RECONSTRUCTION UNDER VORONOI AND ENCLOSING ELLIPSES FROM 3D MICROSCOPY. PDF