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Automatic Segmentation of Bone Canals in Histological Images

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Abstract

The literature provides many works that focused on cell nuclei segmentation in histological images. However, automatic segmentation of bone canals is still a less explored field. In this sense, this paper presents a method for automatic segmentation approach to assist specialists in the analysis of the bone vascular network. We evaluated the method on an image set through sensitivity, specificity and accuracy metrics and the Dice coefficient. We compared the results with other automatic segmentation methods (neighborhood valley emphasis (NVE), valley emphasis (VE) and Otsu). Results show that our approach is proved to be more efficient than comparable methods and a feasible alternative to analyze the bone vascular network.

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Acknowledgements

André R. Backes gratefully acknowledges the financial support of CNPq (Grant #301715/2018-1). The authors also thank FAPEMIG (Foundation to the Support of Research in Minas Gerais) and the School of Medicine of the Federal University of Triângulo Mineiro (UFTM) for providing support in the ionizing radiation procedures. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001.

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Authors and Affiliations

  1. School of Computer Science, Federal University of Uberlândia, Uberlândia, Brazil

    Pedro Henrique Campos Cunha Gondim, Bruno Augusto Nassif Travençolo & André Ricardo Backes

  2. Faculty of Dentistry, Federal University of Uberlândia, Uberlândia, Brazil

    Pedro Henrique Justino Oliveira Limirio, Flaviana Soares Rocha & Jonas Dantas Batista

  3. Biomedical Science Institute, Federal University of Uberlândia, Uberlândia, Brazil

    Paula Dechichi

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  1. Pedro Henrique Campos Cunha Gondim
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  2. Pedro Henrique Justino Oliveira Limirio
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  3. Flaviana Soares Rocha
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  4. Jonas Dantas Batista
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  5. Paula Dechichi
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  6. Bruno Augusto Nassif Travençolo
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  7. André Ricardo Backes
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Correspondence to André Ricardo Backes.

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Gondim, P.H.C.C., Limirio, P.H.J.O., Rocha, F.S. et al. Automatic Segmentation of Bone Canals in Histological Images. J Digit Imaging 34, 678–690 (2021). https://doi.org/10.1007/s10278-021-00454-1

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  • DOI: https://doi.org/10.1007/s10278-021-00454-1

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