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Towards the characterization of the tumor microenvironment through dictionary learning-based interpretable classification of multiplexed immunofluorescence images

Objective. Histology image analysis is a crucial diagnostic step in staging and treatment planning, especially for cancerous lesions. With the increasing adoption of computational methods for image analysis, significant strides are being made to improve the performance metrics of image segmentation...

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Detalles Bibliográficos
Autores principales: Krishnan, Santhoshi N, Barua, Souptik, Frankel, Timothy L, Rao, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903331/
https://www.ncbi.nlm.nih.gov/pubmed/36541756
http://dx.doi.org/10.1088/1361-6560/aca86a