An Improved K-means Clustering Based Approach to Detect a DNA Structure in H&E Image of Mouse Tissue Reacted with CD4-Green Antigen
This is an incremental improvement for biomedical image analysis in pathology, specifically for detecting DNA structures in mouse tissue.
The paper tackles the problem of detecting DNA-rich structures in H&E-stained mouse tissue images treated with CD4-green antigen, using an improved K-means clustering approach to identify blue nuclei, but no concrete results or numbers are provided.
In this manuscript we present the technique to detect and analyze the DNA rich structure in Haemotoxylin & Eosin (H&E) image of a tissue treated with anti CD4 green antigen. The detection of DNA rich structure can be considered as a detection of blue nuclei present through the biomedical signal/image processing technique performed on the image of the tissue obtained by the Scanning Electron Microscope(SEM). Earlier the tissue treated with the anti CD4 green antigen, is stained with the H&E staining solution.