Automatic Segmentation of Multicellular Tumour Spheroids Images During Growing

Image segmentation is an important topic in medical image processing. Multicellular tumour spheroids (MTS) are currently one of the most widely employed in vitro model for pre-clinical drug screening in cancer research. Assessing their growing requires the segmentation of images acquired at several time points. This paper presents the preliminary results of an approach for the automatic segmentation of multicellular tumour spheroids. The obtained segmentation accuracy is reasonable demonstrating that the approach proved adequate.

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Publication Details

Journal
Studies in health technology and informatics
Published
2024-11-22
DOI
https://doi.org/10.3233/shti241098
Citations
1
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.43
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Automatic Segmentation of Multicellular Tumour Spheroids Images During Growing

Gabriella Balestra, Clara Mattu, Andrea Bezze, Alessandra Introvaia et al.
1 citations
Studies in health technology and informatics
Medical Image Segmentation Techniques
0.43
article

Automatic Segmentation of Multicellular Tumour Spheroids Images During Growing

Gabriella Balestra, Clara Mattu, Andrea Bezze, Alessandra Introvaia, Sara Muccio
article en
1 citations

Abstract

Image segmentation is an important topic in medical image processing. Multicellular tumour spheroids (MTS) are currently one of the most widely employed in vitro model for pre-clinical drug screening in cancer research. Assessing their growing requires the segmentation of images acquired at several time points. This paper presents the preliminary results of an approach for the automatic segmentation of multicellular tumour spheroids. The obtained segmentation accuracy is reasonable demonstrating that the approach proved adequate.

Studies in health technology and informaticsVol. 321
Politecnico di Torino (IT)
Good health and well-being
Openalex Percentile: Top 26%
Medical Image Segmentation Techniques
0.43
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