Curvelet initialized level set cell segmentation for touching cells in low contrast images

The biological cell studies rely on the analysis of large cell clusters with the help of microscopy imaging [1,2]. When the goal is to study phenomena of the live cells, fluorescence microscopy is commonly used as it allows biologists to experiment on the live cells with high sensitivity and specificity. Cell image analysis provides information about the cell characteristics and the dynamic behavior of the cells. The complexity of performing the cell analysis increases in touching cell images. Manual processing of such data is time consuming and error prone, creating a demand for automated techniques [3,4].

Source: Computerized Medical Imaging and Graphics - February 17, 2016 Category: Radiology Authors: Sarabpreet Kaur, J.S. Sahambi Source Type: research