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 space. Ea...

Descripción completa

Detalles Bibliográficos
Autores principales: Bench, Ciaran, Nallala, Jayakrupakar, Wang, Chun-Chin, Sheridan, Hannah, Stone, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optica Publishing Group 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774878/
https://www.ncbi.nlm.nih.gov/pubmed/36589581
http://dx.doi.org/10.1364/BOE.476233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774878/
https://www.ncbi.nlm.nih.gov/pubmed/36589581
http://dx.doi.org/10.1364/BOE.476233

Ejemplares similares