Cargando…
AIDeveloper: Deep Learning Image Classification in Life Science and Beyond
Artificial intelligence (AI)‐based image analysis has increased drastically in recent years. However, all applications use individual solutions, highly specialized for a particular task. Here, an easy‐to‐use, adaptable, and open source software, called AIDeveloper (AID) to train neural nets (NN) for...
Autores principales: | Kräter, Martin, Abuhattum, Shada, Soteriou, Despina, Jacobi, Angela, Krüger, Thomas, Guck, Jochen, Herbig, Maik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188199/ https://www.ncbi.nlm.nih.gov/pubmed/34105281 http://dx.doi.org/10.1002/advs.202003743 |
Ejemplares similares
-
An explicit model to extract viscoelastic properties of cells from AFM force-indentation curves
por: Abuhattum, Shada, et al.
Publicado: (2022) -
Spheroid Culture of Mesenchymal Stromal Cells Results in Morphorheological Properties Appropriate for Improved Microcirculation
por: Tietze, Stefanie, et al.
Publicado: (2019) -
Image-based cell sorting using focused travelling surface acoustic waves
por: Nawaz, Ahmad Ahsan, et al.
Publicado: (2023) -
Unbiased retrieval of frequency-dependent mechanical properties from noisy time-dependent signals
por: Abuhattum, Shada, et al.
Publicado: (2022) -
nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data
por: Müller, Paul, et al.
Publicado: (2019)