L
Ludovic Roux
Researcher at Centre national de la recherche scientifique
Publications - 29
Citations - 1298
Ludovic Roux is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Contextual image classification & Sensor fusion. The author has an hindex of 12, co-authored 29 publications receiving 1095 citations. Previous affiliations of Ludovic Roux include National University of Singapore & Paul Sabatier University.
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Journal ArticleDOI
Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
TL;DR: This study presents, discusses, and extracts the major trends from an exhaustive overview of various nuclei detection, segmentation, feature computation, and classification techniques used in histopathology imagery, specifically in hematoxylin-eosin and immunohistochemical staining protocols.
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Mitosis detection in breast cancer histological images An ICPR 2012 contest
Ludovic Roux,Daniel Racoceanu,Nicolas Loménie,Maria S. Kulikova,Humayun Irshad,Jacques Klossa,Frédérique Capron,Catherine Genestie,Gilles Le Naour,Metin N. Gurcan +9 more
TL;DR: A main objective of this contest was to propose a database of mitotic cells on digitized breast cancer histopathology slides to initiate works on automated mitotic cell detection, but the database provided is by far too small for a good assessment of reliability and robustness of the proposed algorithms.
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Automated Mitosis Detection Using Texture, SIFT Features and HMAX Biologically Inspired Approach
Humayun Irshad,Sepehr Jalali,Ludovic Roux,Daniel Racoceanu,Lim Joo Hwee,Gilles Le Naour,Frédérique Capron +6 more
TL;DR: An approach that assists pathologists in automated mitosis detection and counting is proposed, which is based on the most favorable texture features combination and examines the separability between different channels of color space.
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Time-efficient sparse analysis of histopathological whole slide images
Chao-Hui Huang,Chao-Hui Huang,Antoine Veillard,Antoine Veillard,Ludovic Roux,Nicolas Loménie,Nicolas Loménie,Daniel Racoceanu +7 more
TL;DR: An innovative platform in which multi-scale computer vision algorithms perform fast analysis of a histopathological WSI, which relies on application-driven for high-resolution and generic for low-resolution image analysis algorithms embedded in a multi- scale framework to rapidly identify the high power fields of interest used by the pathologist to assess a global grading.
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A fuzzy-possibilistic scheme of study for objects with indeterminate boundaries: application to French Polynesian reefscapes
TL;DR: This communication describes the study of an ecological system using remote-sensing data and image-analysis tools derived from possibility theory to study the spatial structure of an ecosystem composed of objects that lack precise boundaries.