Muthu Subash Kavitha
Orcid: 0000-0002-1676-561XAffiliations:
- SNS College of Technology, Coimbatore, India
According to our database1,
Muthu Subash Kavitha
authored at least 36 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
An approach towards the detection of eye cancer using configured convolution neural network with sine cosine fitness gray wolf optimizer.
J. Intell. Fuzzy Syst., March, 2024
2023
Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer.
Multim. Syst., December, 2023
Premature Infant Cry Classification via Deep Convolutional Recurrent Neural Network Based on Multi-class Features.
Circuits Syst. Signal Process., December, 2023
An effective ontology-based query response model for risk assessment in urban flood disaster management.
J. Intell. Fuzzy Syst., 2023
Attention-effective multiple instance learning on weakly stem cell colony segmentation.
Intell. Syst. Appl., 2023
Improved Soil Quality Prediction Model Using Deep Learning for Smart Agriculture Systems.
Comput. Syst. Sci. Eng., 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
2022
Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection.
Neural Comput. Appl., 2022
Int. J. Imaging Syst. Technol., 2022
Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN.
Int. J. Comput. Vis., 2022
Comput. Syst. Sci. Eng., 2022
Comput. Syst. Sci. Eng., 2022
2021
Pattern Recognit. Lett., 2021
Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection.
Neural Comput. Appl., 2021
Brain Tumor Detection with Biologically Inspired Watershed Segmentation and Classification Based on Feed-Forward Neural Network (FNN).
J. Medical Imaging Health Informatics, 2021
Autoencoder framework based on orthogonal projection constraints improves anomalies detection.
Neurocomputing, 2021
Mixture of experts with convolutional and variational autoencoders for anomaly detection.
Appl. Intell., 2021
Data Imputation of Brain MRI Features with Enhanced Multinomial Logistic Regression for Alzheimer's Disease Classification.
Proceedings of the SIET '21: 6th International Conference on Sustainable Information Engineering and Technology 2021, Malang, Indonesia, September 13, 2021
2020
Volumetric analysis framework for accurate segmentation and classification (VAF-ASC) of lung tumor from CT images.
Soft Comput., 2020
ICM-BTD: improved classification model for brain tumor diagnosis using discrete wavelet transform-based feature extraction and SVM classifier.
Soft Comput., 2020
ECIDS-Enhanced Cancer Image Diagnosis and Segmentation Using Artificial Neural Networks and Active Contour Modelling.
J. Medical Imaging Health Informatics, 2020
Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization.
IEICE Trans. Inf. Syst., 2020
An Efficient Region Precise Thresholding and Direct Hough Transform in Femur and Femoral Neck Segmentation Using Pelvis CT.
IEEE Access, 2020
Transfer Learning by Cascaded Network to Identify and Classify Lung Nodules for Cancer Detection.
Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020
Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis.
Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020
2019
ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques.
J. Medical Syst., 2019
Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
Detection of One Dimensional Anomalies Using a Vector-Based Convolutional Autoencoder.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease.
Proceedings of the 11th IEEE International Workshop on Computational Intelligence and Applications, 2019
2018
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques.
Comput. Biol. Medicine, 2018
2017
Proceedings of the Soft Computing for Problem Solving, 2017
2012
Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system.
BMC Medical Imaging, 2012
Automatic assessment of mandibular bone using support vector machine for the diagnosis of osteoporosis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
2011
Continuous measurements of mandibular cortical width on dental panoramic radiographs for computer-aided diagnosis of osteoporosis.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011