Deep learning for automated boundary detection and segmentation in organ donation photography

Medical photography is ubiquitous and plays an increasingly important role in the fields of medicine and surgery. Any assessment of these photographs by computer vision algorithms requires first that the area of interest can accurately be delineated from the background. We aimed to develop deep lear...

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Bibliographische Detailangaben
Hauptverfasser: Kourounis Georgios, Elmahmudi Ali Ahmed, Thomson Brian, Nandi Robin, Tingle Samuel J., Glover Emily K., Thompson Emily, Mahendran Balaji, Connelly Chloe, Gibson Beth, Bates Lucy, Sheerin Neil S., Hunter James, Ugail Hassan, Wilson Colin
Format: Artigo
Sprache:Inglês
Veröffentlicht: De Gruyter 2024-08-01
Schriftenreihe:Innovative Surgical Sciences
Schlagworte:
transplant surgery
image segmentation
computer vision
deep learning
artificial intelligence
Online Zugang:https://doi.org/10.1515/iss-2024-0022
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