Jun 30, 2018 · The active contour step is then needed to detect more precisely the cells than using only k-means. Hence, the proposed method show improved ...

We propose a segmentation method based on the combination of K-means clustering and Chan-Vese active contour model.

PDF | On Jun 30, 2018, Marwa Braiki and others published Human Dendritic Cells Segmentation Based on K-Means and Active Contour | Find, read and cite all ...

First, a combination of K-means clustering and mathematical morphology is used to detect dendritic cells. Second, a region-based Chan-Vese active contour model ...

First, after a preprocessing step, we use k-means clustering and mathematical morphology to detect the location of cells in microscopic images. Second, a region ...

First, after a preprocessing step, we use k-means clustering and mathematical morphology to detect the location of cells in microscopic images. Second, a region ...

Human Dendritic Cells Segmentation Based on K-Means and Active Contour ... Authors: Marwa Braiki; Abdesslam Benzinou; Kamal Nasreddine; Aymen Mouelhi; Salam ...

Dendritic cells play a fundamental role in the immune system. The analysis of these cells in vitro is a new evaluation technique of the effects of food ...

Apr 25, 2024 · Salam Labidi, Nolwenn Hymery : Human Dendritic Cells Segmentation Based on K-Means and Active Contour. ICISP 2018: 19-27; 2016. [c1]. view.

Jan 6, 2023 · Automatic human dendritic cells segmentation using k-means clustering and Chan-Vese active contour model. Comput. Methods Programs Biomed ...