DocumentCode :
2823391
Title :
Segmentation and detection of Squamous cell lung malignanncy from sputum images
Author :
Cherian, Accamma ; Leio, A.V. ; Jeeva, J.B.
Author_Institution :
Div. of Biomed. Eng., VIT Univ., Vellore, India
fYear :
2015
fDate :
26-27 Feb. 2015
Firstpage :
34
Lastpage :
37
Abstract :
Squamous cell carcinoma (SCC) of the lungs is one of the types of non-small cell lung malignancy. Non-small cell lung cancers accounts for about 80% of lung cancers, and of these, roughly 30% are SCC´s, which are mostly seen in smokers. SCC is seen in the tissue that lines the air passages in the lungs. The work is based on the Segmentation and Detection of Squamous cell carcinoma of lung from sputum images based on cytopatholgical characteristics of the cell. These images are acquired by the digital microscope with specified magnification. This process requires the detection of the Squamous cell in the sputum images characterized by the hyper chromatic cell region and the change in the nucleus angulations and its irregularities of the cells. In this method color segmentation of the cells is followed by its filtering and nucleus segmentation is performed. Using these parameters classification of the cell is done.
Keywords :
cancer; image classification; image colour analysis; image filtering; image segmentation; lung; medical image processing; object detection; SCC; cell classification; cell color segmentation; cell cytopatholgical characteristics; digital microscope; filtering; hyper chromatic cell region; lung cancer; nucleus angulations; nucleus segmentation; sputum images; squamous cell carcinoma; squamous cell lung malignancy detection; squamous cell lung malignancy segmentation; Cancer; Conferences; Filtering; Image color analysis; Image segmentation; Lungs; Shape; Squamous cell carcinoma; color segmentation; filtering; nucleus angulations; sputum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-7224-1
Type :
conf
DOI :
10.1109/ECS.2015.7124920
Filename :
7124920
Link To Document :
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