Title :
Automated Quantification of Lymph Node Size and Number in Surgical Specimens of Stage II Colorectal Cancer
Author :
Niemistö, Antti ; Shmulevich, Ilya ; Yli-Harja, Olli ; Chirieac, Lucian R. ; Hamilton, Stanley R.
Author_Institution :
Inst. of Signal Process., Tampere Univ. of Technol.
Abstract :
An automated image analysis method for quantification of the size and number of lymph nodes in surgical specimens of stage II colorectal cancer is presented. The quantification is made using routine histopathologic sections of lymph nodes that have been dissected by pathologists from resection specimens. The hematoxylin and eosin stained sections on slides are imaged with a standard image scanner. Each obtained image can contain multiple slides. The first task is to detect the slides. Then, the lymph nodes are detected and their size is assessed using K-means clustering and morphological image processing. The results are found to correlate well with results that have been obtained manually. The method has proven useful for predicting survival in stage II colorectal cancer
Keywords :
biomedical optical imaging; cancer; dyes; medical image processing; statistical analysis; tumours; K-means clustering; automated image analysis; eosin; hematoxylin; lymph node number; lymph node size; morphological image processing; pathologists; routine histopathologic sections; stage II colorectal cancer; surgical specimens; Biomedical signal processing; Cancer; Diseases; Hospitals; Image color analysis; Image processing; Lymph nodes; Medical treatment; Oncological surgery; Systems biology; Colorectal cancer; K-means clustering; image analysis; lymph nodes; quantification; segmentation;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615941
