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A survey on recent trends in deep learning for nucleus segmentation from histopathology images

Nucleus segmentation is an imperative step in the qualitative study of imaging datasets, considered as an intricate task in histopathology image analysis. Segmenting a nucleus is an important part of diagnosing, staging, and grading cancer, but overlapping regions make it hard to separate and tell a...

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Detalles Bibliográficos
Autores principales: Basu, Anusua, Senapati, Pradip, Deb, Mainak, Rai, Rebika, Dhal, Krishna Gopal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987406/
http://dx.doi.org/10.1007/s12530-023-09491-3