Title :
Nuclei segmentation from breast cancer histology images
Author :
Nikam, Akshay ; Gopal, Aarthi
Author_Institution :
Shresh Gyan Vihar Univ. Jaipur, Jaipur, India
Abstract :
Histology image analysis using computer-aided diagnosis systems has become increasingly important during the last years. One reason is the need to alleviate the heavy workload of medical experts. In this paper, we introduce a general purpose framework which is able to segmentation of cell nuclei from microscopic images based on graph based segmentation and threshold methods.
Keywords :
biomedical optical imaging; cancer; cellular biophysics; feature extraction; graph theory; image classification; image segmentation; medical image processing; microscopes; breast cancer histology image analysis; cell classification; cell extraction; cell nuclei segmentation; computer- aided diagnosis systems; graph based segmentation; medical expert workload; microscopic images; threshold methods; Breast cancer; Clustering algorithms; Histograms; Image edge detection; Image segmentation; Medical diagnostic imaging; Breast cancer; Graph Based Segmentation; Thresholding;
Conference_Titel :
Emerging Trends and Applications in Computer Science (ICETACS), 2013 1st International Conference on
Conference_Location :
Shillong
Print_ISBN :
978-1-4673-5249-9
DOI :
10.1109/ICETACS.2013.6691387