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ORCIDA. Jayachandran
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2020 – today
- 2024
[j16]A. Jayachandran
, N. Anisha:
Multi-class brain tumor classification system in MRI images using cascades neural network. Comput. Intell. 40(4) (2024)- [j15]A. Jayachandran, S. Ratheesh Kumar:
Microaneurysm classification system in color fundus images using auto-weight dilated convolutional network. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j14]A. Jayachandran, S. Ganesh:
Deep CNN-based microaneurysm segmentation system in retinal images using multi-level features. J. Intell. Fuzzy Syst. 46(2): 4841-4857 (2024) - [j13]T. Sudarson Rama Perumal, A. Jayachandran, S. Ratheesh Kumar:
Microaneurysms detection in fundus images using local Fourier transform and neighbourhood analysis. Knowl. Inf. Syst. 66(2): 1403-1423 (2024) - 2023
- [j12]A. Jayachandran, G. Shunmugarathinam, T. Sudarson Rama Perumal:
Retinal vessels segmentation of colour fundus images using two stages cascades convolutional neural networks. J. Ambient Intell. Humaniz. Comput. 14(7): 9305-9315 (2023) - [j11]T. Sudarson Rama Perumal, A. Jegatheesan, A. Jayachandran:
Two stages cascades neural network for multi-class brain lesion classification system in MRI images. J. Intell. Fuzzy Syst. 44(3): 4717-4732 (2023) - [j10]A. Jayachandran, S. Ratheesh Kumar, T. Sudarson Rama Perumal:
Multi-dimensional cascades neural network models for the segmentation of retinal vessels in colour fundus images. Multim. Tools Appl. 82(27): 42927-42943 (2023) - [j9]A. Jayachandran, S. Ganesh, S. Ratheesh Kumar:
Multi-stage Deep Convolutional Neural Network for Histopathological Analysis of Osteosarcoma. Neural Comput. Appl. 35(27): 20351-20364 (2023) - 2021
- [j8]A. Jayachandran, B. Anusheeba:
Hybrid Melanoma Classification System Using Multi-Layer Fuzzy C-Means Clustering and Deep Convolutional Neural Network. J. Medical Imaging Health Informatics 11(11): 2709-2715 (2021) - 2020
- [j7]T. Sreekesh Namboodiri, A. Jayachandran:
Multi-Class Skin Lesions Classification System Using Probability Map Based Region Growing and DCNN. Int. J. Comput. Intell. Syst. 13(1): 77-84 (2020) - [j6]D. Stalin David, A. Jayachandran:
A new expert system based on hybrid colour and structure descriptor and machine learning algorithms for early glaucoma diagnosis. Multim. Tools Appl. 79(7-8): 5213-5224 (2020)
2010 – 2019
- 2018
- [j5]Arokia Jesu Prabhu Lazar, A. Jayachandran:
Mixture Model Segmentation System for Parasagittal Meningioma brain Tumor Classification based on Hybrid Feature Vector. J. Medical Syst. 42(12): 251:1-251:6 (2018) - 2015
- [j4]A. Jayachandran, G. Kharmega Sundararaj:
Abnormality Segmentation and Classification of Multi-class Brain Tumor in MR Images Using Fuzzy Logic-Based Hybrid Kernel SVM. Int. J. Fuzzy Syst. 17(3): 434-443 (2015) - 2014
- [j3]A. Jayachandran, R. Dhanasekaran:
Computer Assisted Diagnosis of Tumor in Brain MRI Images using Wavelet as input to Ada-Boost classifier. Int. J. Energy Optim. Eng. 3(3): 72-85 (2014) - [j2]A. Jayachandran, Dhanasekaran Raghavan:
Brain tumor severity analysis using modified multi-texton histogram and hybrid kernel SVM. Int. J. Imaging Syst. Technol. 24(1): 72-82 (2014) - 2013
- [j1]A. Jayachandran, Dhanasekaran Raghavan:
Automatic detection of brain tumor in magnetic resonance images using multi-texton histogram and support vector machine. Int. J. Imaging Syst. Technol. 23(2): 97-103 (2013)
Coauthor Index
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