MAMLE is a novel segmentation method for detecting cells within dense clusters. MAMLE executes cell segmentation in two main stages. The first relies on state of the art filtering technique, edge detection in multi resolution with morphological operator and threshold decomposition for adaptive thresholding. From this, a correction procedure is applied that exploits maximum likelihood estimate as an objective function. Also, it acquires morphological features from the initial segmentation for constructing the likelihood parameter, after which the final segmentation results are obtained.
If you use MAMLE in one of your publications, please cite:
S Chowdhury, M Kandhavelu, O Yli-Harja, and AS Ribeiro (2013) Cell Segmentation by Multi-resolution Analysis and Maximum Likelihood Estimation (MAMLE). BMC Bioinformatics 14 (Sup. 10), S8.