Training Nuclei Detection Algorithms with Simple Annotations

BACKGROUND: Generating good training datasets is essential for machine learning-based nuclei detection methods. However, creating exhaustive nuclei contour annotations, to derive optimal training data from, is often infeasible. METHODS: We compared different approaches for training nuclei detection...

Descripción completa

Detalles Bibliográficos
Autores principales: Kost, Henning, Homeyer, André, Molin, Jesper, Lundström, Claes, Hahn, Horst Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5450511/
https://www.ncbi.nlm.nih.gov/pubmed/28584683
http://dx.doi.org/10.4103/jpi.jpi_3_17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5450511/
https://www.ncbi.nlm.nih.gov/pubmed/28584683
http://dx.doi.org/10.4103/jpi.jpi_3_17

Ejemplares similares