Neuroimmunology and Molecular Pattern Recognition Group,


Abstract. A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, which acquires the visual knowledge from a set of train-ing cell-image patches selected by the user. Guided by the detected cell positions the system extracts in the second step the contours of the cells. For contour ex-traction a recurrent neural network model is used to approximate the cell shapes. Even though the micrographs are noisy and the fluorescent cells vary in shape and size, the system detects at minimum of the cells.

Similar works

Full text

oaioai:CiteSeerX.psu:10.1...Last time updated on 10/28/2017

This paper was published in CiteSeerX.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.