Segmentation of bone marrow biopsies by mathematical morphology in color spaces
Anatomic and pathologic reports of histological slides give results indicating the presence of trabeculae, hematopoietic and fat cells. This allows evaluating the grade of some metabolic disorder, comparing normal values with pathological ones. Generally, quantifications are carried out by simple vi...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/100500 |
| Acceso en línea: | http://hdl.handle.net/11336/100500 |
| Access Level: | acceso abierto |
| Palabra clave: | BONE MARROW BIOPSIES SEGMENTATION MATHEMATICAL MORPHOLOGY COLOR SPACES https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
| Sumario: | Anatomic and pathologic reports of histological slides give results indicating the presence of trabeculae, hematopoietic and fat cells. This allows evaluating the grade of some metabolic disorder, comparing normal values with pathological ones. Generally, quantifications are carried out by simple visual inspection presenting big inter-and intra-user differences. This work presents an automatic method for detecting different types of tissues in bone marrow biopsies using Mathematical Morphology in color spaces, in order to determine the marrow cellularity accurately. The method was tested with 30 images of bone marrow biopsies presenting different distributions of cellularity. |
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