Unsupervised segmentation of biomedical hyperspectral image data: tackling high dimensionality with convolutional autoencoders

Information about the structure and composition of biopsy specimens can assist in disease monitoring and diagnosis. In principle, this can be acquired from Raman and infrared (IR) hyperspectral images (HSIs) that encode information about how a sample's constituent molecules are arranged in spac...

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Veröffentlicht in:	Biomedical optics express 2022-12, Vol.13 (12), p.6373-6388
Hauptverfasser:	Bench, Ciaran, Nallala, Jayakrupakar, Wang, Chun-Chin, Sheridan, Hannah, Stone, Nicholas
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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