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Unsupervised Learning Based on Multiple Descriptors for WSIs Diagnosis

An automatic pathological diagnosis is a challenging task because histopathological images with different cellular heterogeneity representations are sometimes limited. To overcome this, we investigated how the holistic and local appearance features with limited information can be fused to enhance th...

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Detalles Bibliográficos
Autores principales:	Sheikh, Taimoor Shakeel, Kim, Jee-Yeon, Shim, Jaesool, Cho, Migyung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222016/ https://www.ncbi.nlm.nih.gov/pubmed/35741289 http://dx.doi.org/10.3390/diagnostics12061480

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