Neural network fast‐classifies biological images through features selecting to power automated microscopy-Reference-Cited by-同舟云学术

Neural network fast‐classifies biological images through features selecting to power automated microscopy

Published:2021-11-14 Issue:1 Volume:285 Page:3-19
ISSN:0022-2720
Container-title:Journal of Microscopy
language:en
Short-container-title:Journal of Microscopy

Author:

Balluet Maël¹²,Sizaire Florian¹³,El Habouz Youssef¹,Walter Thomas⁴⁵⁶,Pont Jérémy²,Giroux Baptiste²,Bouchareb Otmane²,Tramier Marc¹⁷,Pecreaux Jacques¹^ORCID

Affiliation:

1. CNRS Univ Rennes, IGDR ‐ UMR 6290 Rennes France

2. Inscoper SAS Cesson‐Sévigné France

3. Present address Biologics Research, Sanofi R&D Vitry‐sur‐Seine France

4. Centre for Computational Biology (CBIO), MINES ParisTech, PSL University Paris France

5. Institut Curie Paris France

6. INSERM, U900 Paris France

7. Univ Rennes, BIOSIT, UMS CNRS 3480, US INSERM 018 Rennes France

Funder

Agence Nationale de la Recherche

Association Nationale de la Recherche et de la Technologie

Centre National de la Recherche Scientifique

Publisher

Wiley

Subject

Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jmi.13062

Reference81 articles.

1. Analysis of live cell images: Methods, tools and opportunities

2. A Review of Biological Image Analysis

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4. Bioimage informatics: a new area of engineering biology

5. Seeing Is Believing: Quantifying Is Convincing: Computational Image Analysis in Biology

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