Nuclei extraction from histopathological images using a marked point process approach

Maria Kulikova, Antoine Veillard, Ludovic Roux, Daniel Racoceanu

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18 Citas (Scopus)


Morphology of cell nuclei is a central aspect in many histopathological studies, in particular in breast cancer grading. Therefore, the automatic detection and extraction of cell nuclei from microscopic images obtained from cancer tissue slides is one of the most important problems in digital histopathology. We propose to tackle the problem using a model based on marked point processes (MPP), a methodology for extraction of multiple objects from images. The advantage of MPP based models is their ability to take into account the geometry of objects; and the information about their spatial repartition in the image. Previously, the MPP models have been applied for the extraction of objects of simple geometrical shapes. For histolog-ical grading, a morphological criterion known as nuclear pleomorphism corresponding to fine morphological differences between the nuclei is assessed by pathologists. Therefore, the accurate delineation of nuclei became an issue of even greater importance than optimal nuclei detection. Recently, the MPP framework has been defined on the space of arbitrarily-shaped objects allowing more accurate extraction of complex-shaped objects. The nuclei often appear joint or even overlap in histopathological images. The model still allows to extract them as individual joint or overlapping objects without discarding the overlapping parts and therefore without significant loss in delineation precision. We aim to compare the MPP model with two state-of-the-art methods selected from a comprehensive review of the available methods. The experiments are performed using a database of H&E stained breast cancer images covering a wide range of histological grades.

Idioma originalInglés
Título de la publicación alojadaMedical Imaging 2012
Subtítulo de la publicación alojadaImage Processing
EstadoPublicada - 2012
Publicado de forma externa
EventoMedical Imaging 2012: Image Processing - San Diego, CA, Estados Unidos
Duración: 6 feb. 20129 feb. 2012

Serie de la publicación

NombreProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (versión impresa)1605-7422


ConferenciaMedical Imaging 2012: Image Processing
País/TerritorioEstados Unidos
CiudadSan Diego, CA


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