Bhavani K

Work place: Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bengaluru-560078,India.



Research Interests: Medical Image Computing, Computer Vision


Mrs Bhavani K received Bachelor of Engineering in Computer Science & Engineering in 2006 and Master Degree M.Tech in Computer Science and Engineering in 2009. She is currently pursuing Ph.D from Visvesvaraya Technological University, Karnataka. Her area of research include Medical image processing, Computer Vision, AI.

Author Articles
Analysis of CT DICOM Image Segmentation for Abnormality Detection

By Rashmi Kulkarni Bhavani K

DOI:, Pub. Date: 8 Sep. 2019

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.

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