Analysis of CT DICOM Image Segmentation for Abnormality Detection

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Rashmi Kulkarni 1,* Bhavani K 1

1. Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bengaluru-560078,India.

* Corresponding author.


Received: 11 Jun. 2019 / Revised: 26 Jul. 2019 / Accepted: 23 Aug. 2019 / Published: 8 Sep. 2019

Index Terms

Image processing, noise, filtration, image pre-processing, segmentation, nodule extraction.


The cancer is a menacing disease. More care is required while diagnosing cancer disease. Mostly CT modality is used for Cancer therapy. Image processing techniques [1] can help doctors to diagnose easily and more accurately. Image pre-processing [2], segmentation methods [3] are used in extraction of cancerous nodules from CT images. Many researches have been done on segmentation of CT images with different algorithms, but they failed to reach 100% accuracy. This research work, proposes a model for analysis of CT image segmentation with filtered and without filtered images. And brings out the importance of pre-processing of CT images.

Cite This Paper

Rashmi Kulkarni, Bhavani K. "Analysis of CT DICOM Image Segmentation for Abnormality Detection", International Journal of Engineering and Manufacturing(IJEM), Vol.9, No.5, pp.46-55, 2019. DOI: 10.5815/ijem.2019.05.04


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