Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach

Autor: Aishwarya Venkataramanan, Pierre Faure-Giovagnoli, Cyril Regan, David Heudre, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier, Martin Laviale

Publikováno v: Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence, 2023, 117, pp.105594. ⟨10.1016/j.engappai.2022.105594⟩

International audience; Benthic diatoms are unicellular microalgae that are routinely used as bioindicators for monitoring the ecological status of freshwater. Their identification using light microscopy is a time-consuming and laborintensive task th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c0a278d720f60dc309d920bf39b7264
https://doi.org/10.1016/j.engappai.2022.105594

Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification

Autor: Cécile Figus, Philippe Usseglio-Polatera, Martin Laviale, Aishwarya Venkataramanan, Cédric Pradalier

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030871550
ICVS
13th International Conference on Computer Vision Systems (ICVS 2021)
13th International Conference on Computer Vision Systems (ICVS 2021), Sep 2021, Virtual Event, Austria. ⟨10.1007/978-3-030-87156-7_8⟩

Automatic classification of aquatic microorganisms is based on the morphological features extracted from individual images. The current works on their classification do not consider the inter-class similarity and intra-class variance that causes misc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73a409a4236fbb537230ec963ef0d4aa
https://doi.org/10.1007/978-3-030-87156-7_8