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NuSegDA: Domain adaptation for nuclei segmentation

The accurate segmentation of nuclei is crucial for cancer diagnosis and further clinical treatments. To successfully train a nuclei segmentation network in a fully-supervised manner for a particular type of organ or cancer, we need the dataset with ground-truth annotations. However, such well-annota...

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Detalles Bibliográficos
Autores principales:	Haq, Mohammad Minhazul, Ma, Hehuan, Huang, Junzhou
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Big Data
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018010/ https://www.ncbi.nlm.nih.gov/pubmed/36936996 http://dx.doi.org/10.3389/fdata.2023.1108659

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