| Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI A Halder, NA Talukdar Magnetic Resonance Imaging 62, 129-151, 2019 | 18 | 2019 |
| Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints A Halder, NA Talukdar Applied Soft Computing 85, 105758, 2019 | 15 | 2019 |
| Automated blood cancer detection using image processing based on fuzzy system NA Talukdar, D Deb, S Roy International Journal of Advanced Research in Computer Science and Software …, 2014 | 12 | 2014 |
| Partially supervised kernel induced rough fuzzy clustering for brain tissue segmentation NA Talukdar, A Halder Pattern Recognition and Image Analysis 31, 91-102, 2021 | 5 | 2021 |
| Identification of WBC based on dynamic clustering using modified FCM algorithm with an approach to optimal result NA Talukdar, S Roy Proceedings of the Sixth IEEE International Conference on Computer and …, 2015 | 1 | 2015 |
| Kernel induced semi-supervised spatial clustering: a novel brain MRI segmentation technique A Halder, NA Talukdar Multimedia Tools and Applications, 1-29, 2023 | | 2023 |
| Semi-supervised Rough Fuzzy Clustering for Brain MRI Segmentation NA Talukdar, A Halder International Journal of Research in Advent Technology (IJRAT) 7 (No. 3 …, 2019 | | 2019 |
| Brain MRI segmentation suing kernelized Rough Fuzzy C-Means and new ground truth construction techniques for result analysis and validation. NA Talukda, A Halder Advances in Science and Technology 1, Chapter-17, 2018 | | 2018 |
Dr. Anindya HalderDepartment of Computer Applicatiins, North-Eastern Hill University, Tura CampusVerified email at nehu.ac.in
