Automatic cancer nuclei segmentation on histological images: comparison study of deep learning methods

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Detalles Bibliográficos
Publicado en:	Biotechnology and Bioprocess Engineering : BBE vol. 29, no. 6 (Dec 2024), p. 1034
Publicado:	Springer Nature B.V.
Materias:	Cancer Health problems Digital imaging Artificial intelligence Deep learning Segmentation Cell culture Medical imaging Histology Image processing Data analysis Nuclei Data augmentation Image segmentation Data science Nuclei (cytology) Biomedical engineering Social
Acceso en liña:	Citation/Abstract Full Text - PDF
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