Work

Automatic Segmentation of Multicellular Tumour Spheroids Images During Growing

Year: 2024

Type: book-chapter

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.

Source: Studies in health technology and informatics

DOI: 10.3233/shti241098

Authors: Alessandra Introvaia, Sara Muccio, Andrea Bezze, Clara Mattu, Gabriella Balestra

Institution: Politecnico di Torino

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funders: European Commission, NextGenerationEU