Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it

INTRODUCTION: Indocyanine green (ICG) quantification and assessment by machine learning (ML) could discriminate tissue types through perfusion characterisation, including delineation of malignancy. Here, we detail the important challenges overcome before effective clinical validation of such capabil...

Descripción completa

Detalles Bibliográficos
Autores principales: Hardy, Niall P., MacAonghusa, Pol, Dalli, Jeffrey, Gallagher, Gareth, Epperlein, Jonathan P., Shields, Conor, Mulsow, Jurgen, Rogers, Ailín C., Brannigan, Ann E., Conneely, John B., Neary, Peter M., Cahill, Ronan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
2022 SAGES Oral
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338552/
https://www.ncbi.nlm.nih.gov/pubmed/36894810
http://dx.doi.org/10.1007/s00464-023-09963-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338552/
https://www.ncbi.nlm.nih.gov/pubmed/36894810
http://dx.doi.org/10.1007/s00464-023-09963-2

Ejemplares similares