Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
An accurate segmentation method for white blood cell images
135
Zitationen
2
Autoren
2003
Jahr
Abstract
A part of our research work on an Automated Cell Count project is described. A major requirement for this project is an efficient method to segment cell images. This work presents an accurate segmentation method for an automatic count of white blood cells. First a simple thresholding approach is applied to give initial labels to pixels in the blood cell images. The algorithm is based on priori information about blood smear images. Then the labels are adjusted with a shape detection method based on large regional context information to produce meaningful results. This approach makes use of knowledge of the blood cell structure. The experimental result shows that this method is more powerful than traditional methods that use only local context information. It can perform accurate segmentation of white blood cells even if they have unsharp boundaries.
Ähnliche Arbeiten
A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
1983 · 7.076 Zit.
Artificial neural networks: a tutorial
1996 · 4.931 Zit.
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
2018 · 4.602 Zit.
Ridge-Based Vessel Segmentation in Color Images of the Retina
2004 · 4.097 Zit.
Bone Histomorphometry : Standardization of Nomenclature, Symbols, and Units
1987 · 3.273 Zit.