1.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 3063-3067, 2022 07.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36085678
RESUMO
Multiplexed immunofluorescence provides an un-precedented opportunity for studying specific cell-to-cell and cell microenvironment interactions. We employ graph neural networks to combine features obtained from tissue morphology with measurements of protein expression to profile the tumour microenvironment associated with different tumour stages. Our framework presents a new approach to analysing and processing these complex multi-dimensional datasets that overcomes some of the key challenges in analysing these data and opens up the opportunity to abstract biologically meaningful interactions.