A. Jayachandran
Orcid: 0000-0002-8185-3237
According to our database1,
A. Jayachandran
authored at least 15 papers
between 2013 and 2024.
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Bibliography
2024
Microaneurysms detection in fundus images using local Fourier transform and neighbourhood analysis.
Knowl. Inf. Syst., February, 2024
Deep CNN-based microaneurysm segmentation system in retinal images using multi-level features.
J. Intell. Fuzzy Syst., February, 2024
Microaneurysm classification system in color fundus images using auto-weight dilated convolutional network.
Int. J. Imaging Syst. Technol., January, 2024
2023
Multi-dimensional cascades neural network models for the segmentation of retinal vessels in colour fundus images.
Multim. Tools Appl., November, 2023
Multi-stage Deep Convolutional Neural Network for Histopathological Analysis of Osteosarcoma.
Neural Comput. Appl., September, 2023
Retinal vessels segmentation of colour fundus images using two stages cascades convolutional neural networks.
J. Ambient Intell. Humaniz. Comput., July, 2023
Two stages cascades neural network for multi-class brain lesion classification system in MRI images.
J. Intell. Fuzzy Syst., 2023
2021
Hybrid Melanoma Classification System Using Multi-Layer Fuzzy C-Means Clustering and Deep Convolutional Neural Network.
J. Medical Imaging Health Informatics, 2021
2020
A new expert system based on hybrid colour and structure descriptor and machine learning algorithms for early glaucoma diagnosis.
Multim. Tools Appl., 2020
Multi-Class Skin Lesions Classification System Using Probability Map Based Region Growing and DCNN.
Int. J. Comput. Intell. Syst., 2020
2018
Mixture Model Segmentation System for Parasagittal Meningioma brain Tumor Classification based on Hybrid Feature Vector.
J. Medical Syst., 2018
2015
Abnormality Segmentation and Classification of Multi-class Brain Tumor in MR Images Using Fuzzy Logic-Based Hybrid Kernel SVM.
Int. J. Fuzzy Syst., 2015
2014
Brain tumor severity analysis using modified multi-texton histogram and hybrid kernel SVM.
Int. J. Imaging Syst. Technol., 2014
Computer Assisted Diagnosis of Tumor in Brain MRI Images using Wavelet as input to Ada-Boost classifier.
Int. J. Energy Optim. Eng., 2014
2013
Automatic detection of brain tumor in magnetic resonance images using multi-texton histogram and support vector machine.
Int. J. Imaging Syst. Technol., 2013