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Thiyagarajan Padmapriya

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International Journal of Imaging Systems and Technology|April 25, 2022
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scansThiyagarajan Padmapriya, Thiruvenkatam Kalaiselvi, Venugopal Priyadharshini
Peerj. Computer Science|September 24, 2024
Trade-off between training and testing ratio in machine learning for medical image processingMuthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya
Peerj. Computer Science|December 9, 2024
A simplified approach for efficiency analysis of machine learning algorithmsMuthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya
Current Medical Imaging|December 16, 2021
Advancements of MRI-based Brain Tumor Segmentation from Traditional to Recent Trends: A ReviewThiyagarajan Padmapriya, Padmanaban Sriramakrishnan, Thiruvenkadam Kalaiselvi, et al.
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Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
International Journal of Imaging Systems and Technology|April 25, 2022
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scansThiyagarajan Padmapriya, Thiruvenkatam Kalaiselvi, Venugopal Priyadharshini
Peerj. Computer Science|September 24, 2024
Trade-off between training and testing ratio in machine learning for medical image processingMuthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya
Peerj. Computer Science|December 9, 2024
A simplified approach for efficiency analysis of machine learning algorithmsMuthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya
Current Medical Imaging|December 16, 2021
Advancements of MRI-based Brain Tumor Segmentation from Traditional to Recent Trends: A ReviewThiyagarajan Padmapriya, Padmanaban Sriramakrishnan, Thiruvenkadam Kalaiselvi, et al.
Pageof 1