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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222016/
https://www.ncbi.nlm.nih.gov/pubmed/35741289
http://dx.doi.org/10.3390/diagnostics12061480

Ejemplares similares