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MS. VAIDEHI NAYANTARA P.

sode-edu.in \   MS. VAIDEHI NAYANTARA P.
Assistant Professor
    Artificial Intelligence and Machine Learning
    vaidehi.ds@sode-edu.in
    https://sode-edu.in/ms-vaidehi-nayanathara-p/
    • B.Tech
    • M. Tech
    Electronics and Communication Engineering, Artificial Intelligence and Machine learning
    3 Years 6 Months
    5 Years 4 Months
    • Received PhD fellowship from Karnataka Science and Technology Promotion Society, Department of Science and Technology (DST), Government of Karnataka
    • Artificial intelligence and Machine Learning
    • Medical Image Analysis
    6

    1. P Vaidehi Nayantara, Surekha Kamath, Manjunath K. N and Rajagopal Kadavigere, “Computer-aided diagnosis of liver lesions using CT images: a systematic review”, Computers in Biology and Medicine, Volume 127, p.104035, December 2020. https://doi.org/10.1016/j.compbiomed.2020.104035 (Q1, IF: 7.7)
    2. P Vaidehi Nayantara, Surekha Kamath, Manjunath K. N and Rajagopal Kadavigere, “Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering”, International Journal of Imaging Systems and Technology, Volume 33, Issue 2, pp. 729-745, March 2023. https://doi.org/10.1002/ima.22816 (Q2, IF: 3.3)
    3. P Vaidehi Nayantara, Surekha Kamath, Manjunath K. N and Rajagopal Kadavigere, “Semantic segmentation and PSO based method for segmenting liver and lesion from CT images”, International Journal of Electronics and Telecommunications, Volume 68, Issue 3, pp. 635-640, 2022. DOI: 10.24425/ijet.2022.141283 (Q3).

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