Muthu Subash Kavitha
Muthu Subash Kavitha
Assistant Professor, School of Information and Data Sciences, Nagasaki University
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Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system
MS Kavitha, A Asano, A Taguchi, T Kurita, M Sanada
BMC medical imaging 12, 1-11, 2012
Texture analysis of mandibular cortical bone on digital dental panoramic radiographs for the diagnosis of osteoporosis in Korean women
MS Kavitha, SY An, CH An, KH Huh, WJ Yi, MS Heo, SS Lee, SC Choi
Oral surgery, oral medicine, oral pathology and oral radiology 119 (3), 346-356, 2015
A mini-review on the effects of COVID-19 on younger individuals
M Manivannan, MP Jogalekar, MS Kavitha, BAV Maran, P Gangadaran
Experimental biology and medicine 246 (3), 293-297, 2021
Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches
MS Kavitha, P Ganesh Kumar, SY Park, KH Huh, MS Heo, T Kurita, ...
Dentomaxillofacial Radiology 45 (7), 20160076, 2016
Computer‐aided measurement of mandibular cortical width on dental panoramic radiographs for identifying osteoporosis
MS Kavitha, F Samopa, A Asano, A Taguchi, M Sanada
Journal of investigative and clinical dentistry 3 (1), 36-44, 2012
Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells
MS Kavitha, T Kurita, SY Park, SI Chien, JS Bae, BC Ahn
PloS one 12 (12), e0189974, 2017
The combination of a histogram-based clustering algorithm and support vector machine for the diagnosis of osteoporosis
MS Kavitha, A Asano, A Taguchi, MS Heo
Imaging science in dentistry 43 (3), 153, 2013
A mini-review on the impact of COVID 19 on vital organs
MD Shah, AS Sumeh, M Sheraz, MS Kavitha, BAV Maran, KF Rodrigues
Biomedicine & pharmacotherapy 143, 112158, 2021
Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease
TK Kavitha Muthusubash, Novanto Yudistira
2019 IEEE 11th International Workshop on Computational Intelligence …, 2019
Distributional variations in the quantitative cortical and trabecular bone radiographic measurements of mandible, between male and female populations of Korea, and its utilization
MS Kavitha, SY Park, MS Heo, SI Chien
PLoS One 11 (12), e0167992, 2016
A robust approach for industrial small-object detection using an improved faster regional convolutional neural network
F Saeed, MJ Ahmed, MJ Gul, KJ Hong, A Paul, MS Kavitha
Scientific reports 11 (1), 23390, 2021
Segmentation and classification of brain tumor using wavelet and Zernike based features on MRI
SR Sornam M, Kavitha MS
IEEE International Conference on Advances in Computer Applications (ICACA …, 2016
Prediction of sequential organelles localization under imbalance using a balanced deep U-Net
N Yudistira, M Kavitha, T Itabashi, AH Iwane, T Kurita
Scientific reports 10 (1), 2626, 2020
Exploring the capabilities of a lightweight CNN model in accurately identifying renal abnormalities: Cysts, stones, and tumors, using LIME and SHAP
M Bhandari, P Yogarajah, MS Kavitha, J Condell
Applied Sciences 13 (5), 3125, 2023
Autoencoder framework based on orthogonal projection constraints improves anomalies detection
Q Yu, M Kavitha, T Kurita
Neurocomputing 450, 372-388, 2021
Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans
MS Kavitha, CH Lee, KS Shibudas, T Kurita, BC Ahn
Scientific reports 10 (1), 7738, 2020
Regularizer based on Euler characteristic for retinal blood vessel segmentation
L Hakim, MS Kavitha, N Yudistira, T Kurita
Pattern recognition letters 149, 83-90, 2021
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques
MS Kavitha, T Kurita, BC Ahn
Computers in Biology and Medicine 94, 55-64, 2018
Deep neural network models for colon cancer screening
MS Kavitha, P Gangadaran, A Jackson, BA Venmathi Maran, T Kurita, ...
Cancers 14 (15), 3707, 2022
Mixture of experts with convolutional and variational autoencoders for anomaly detection
Q Yu, MS Kavitha, T Kurita
Applied Intelligence 51 (6), 3241-3254, 2021
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