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Spectrally Tunable Neural Network-Assisted Segmentation of Microneurosurgical Anatomy

BackgroundDistinct tissue types are differentiated based on the surgeon’s knowledge and subjective visible information, typically assisted with white-light intraoperative imaging systems. Narrow-band imaging (NBI) assists in tissue identification and enables automated classifiers, but many anatomica...

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Autori principali: Sami Puustinen, Soukaina Alaoui, Piotr Bartczak, Roman Bednarik, Timo Koivisto, Aarno Dietz, Mikael von und zu Fraunberg, Matti Iso-Mustajärvi, Antti-Pekka Elomaa
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2020-06-01
Serie:Frontiers in Neuroscience
Soggetti:
microsurgery
neurosurgery
narrow-band imaging
machine learning
optimal bands
spectral imaging analysis
Accesso online:https://www.frontiersin.org/article/10.3389/fnins.2020.00640/full
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