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Dr.Swetha M D
Dr.Swetha M D
BNMIT, Associate Professor, CSE Department ,Bengaluru
Verified email at bnmit.in
Title
Cited by
Cited by
Year
K-NN based classification of brain MRI images using DWT and PCA to detect different types of brain tumour
A Arora, P Roy, S Venktesan, R Babu
Int. J. Med. Res. Heal. Sci 6 (9), 15-20, 2017
92017
Sparse feature aware noise removal technique for brain multiple sclerosis lesions using magnetic resonance imaging
MD Swetha, CR Aditya
International Journal of Advanced Computer Science and Applications 13 (6), 2022
32022
Noise Invariant Convolution Neural Network for Segmentation of Multiple Sclerosis Lesions from Brain Magnetic Resonance Imaging.
S MD, A CR
International Journal of Online & Biomedical Engineering 18 (13), 2022
22022
Tampering Detection and Segmentation Model for Multimedia Forensic
PVSS Manjunatha S1 , Malini M Patil2 , Swetha M D3
International Journal of Advanced Computer Science and Applications 14 (9 …, 2023
12023
Text Detection and Recognition from the Scene Images Using RCNN and EasyOCR
YL Chaitra, MJ Roopa, MT Gopalakrishna, MD Swetha, CR Aditya
International Conference on Information and Communication Technology for …, 2023
12023
Classification of brain tumor using devernay sub-pixel edge detection and k-nearest neighbours methodology
A Arora, R Kumar, S Tiwari, M Shwetha, S Venkatesan, R Babu
1
Convolutional Neural Network-based image tamper detection with Error Level Analysis
RS S, Manjunatha, Swetha M D
2024 International Conference on Intelligent and Innovative Technologies in …, 2024
2024
WS-Cloud and Big Query Data Performance Improved using Machine & Deep Learning Programming
HVR T Y Sateesha,M D Swetha
AU Patent 2,021,101,321, 2021
2021
Automated Detection of Multiple Sclerosis Lesions in Normal Appearing White Matter from Brain MRI–A Survey
S MD, M Khatokar, H Kumar M, C Kuridi
Chandrahas, Automated Detection of Multiple Sclerosis Lesions in Normal …, 2021
2021
Automated Diagnosis of Multiple Sclerosis Lesions in Normal Appearing White Matter from Brain MRI on Routine MRI Sequence
S M.D
IN Patent 202,141,004,383, 2021
2021
"A Survey on Identification of Multiple Sclerosis Lesions from Brain MRI"
IJRASE Technology
International Journal for Research in Applied Science Engineering Technology …, 2020
2020
Predicting the Multiple Sclerosis Lesions of Brain Using Convolutional Neural Network
SMD Pavana H R
International Journal of Innovative Research in Computer and Communication …, 2020
2020
Segmentation of Gliomas using GLCM Features and Classification of Gliomas in Brain using SVM Classifier
VS Swetha M.D
Journal of Computer Based Parallel Programming 4 (2), 23-31, 2019
2019
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