| Classification of mammogram images using multiscale all convolutional neural network (MA-CNN) SA Agnes, J Anitha, SIA Pandian, JD Peter Journal of medical systems 44 (1), 30, 2020 | 180 | 2020 |
| A dual stage adaptive thresholding (DuSAT) for automatic mass detection in mammograms IAPS Anitha J, Dinesh Peter J Computer Methods and Programs in Biomedicine 138, 93-104, 2017 | 89 | 2017 |
| An efficient multilevel color image thresholding based on modified whale optimization algorithm J Anitha, SIA Pandian, SA Agnes Expert Systems with Applications 178, 115003, 2021 | 76 | 2021 |
| Plant disease classification using deep learning KP Akshai, J Anitha 2021 3rd International Conference on Signal Processing and Communication …, 2021 | 76 | 2021 |
| Mammogram segmentation using maximal cell strength updation in cellular automata DPJ Anitha. J Medical & Biological Engineering & Computing 53 (8), 737-749, 2015 | 49 | 2015 |
| A pattern based PSO approach for block matching in motion estimation SIA Pandian, GJ Bala, J Anitha Engineering Applications of Artificial Intelligence 26 (8), 1811-1817, 2013 | 39 | 2013 |
| Identification of melanoma in dermoscopy images using image processing algorithms J Anitha 2018 International Conference on Control, Power, Communication and Computing …, 2018 | 38 | 2018 |
| Two-stage lung nodule detection framework using enhanced UNet and convolutional LSTM networks in CT images SA Agnes, J Anitha, AA Solomon Computers in Biology and Medicine 149, 106059, 2022 | 37 | 2022 |
| Automatic lung segmentation in low-dose chest CT scans using convolutional deep and wide network (CDWN) S Akila Agnes, J Anitha, J Dinesh Peter Neural Computing and Applications 32 (20), 15845-15855, 2020 | 33 | 2020 |
| A wavelet based morphological mass detection and classification in mammograms DJDP Anitha. J 2012 International Conference on Machine Vision and Image Processing, MVIP …, 2012 | 29 | 2012 |
| Efficient multiscale fully convolutional UNet model for segmentation of 3D lung nodule from CT image SA Agnes, J Anitha Journal of Medical Imaging 9 (5), 052402-052402, 2022 | 22 | 2022 |
| Automated detection of plant diseases and crop analysis in agriculture using image processing techniques: A survey JR Fiona, J Anitha 2019 IEEE International Conference on Electrical, Computer and Communication …, 2019 | 21 | 2019 |
| Chronic pain treatment and digital health era-an opinion V Rejula, J Anitha, RV Belfin, JD Peter Frontiers in Public Health 9, 779328, 2021 | 16 | 2021 |
| A comprehensive review on deep learning techniques for a BCI-based communication system M Bhuvaneshwari, EGM Kanaga, J Anitha, K Raimond, ST George Demystifying big data, machine learning, and deep learning for healthcare …, 2021 | 16 | 2021 |
| Mass segmentation in mammograms using a kernel-based fuzzy level set method DPJ Anitha. J Int. J. Biomedical Engineering and Technology 19 (2), 2015 | 15 | 2015 |
| Local Ternary Co-occurrence Patterns based Lung Nodules Detection PM Bruntha, SIA Pandian, J Anitha, P Mohan, S Dhanasekar 2020 6th International Conference on Advanced Computing and Communication …, 2020 | 13 | 2020 |
| A color image digital watermarking scheme based on SOFM J Anitha, S Pandian arXiv preprint arXiv:1101.5127, 2011 | 13 | 2011 |
| A Survey Of Moving Object Segmentation Methods A Merin Antony, J Anitha International Journalof Advanced Research in Electronics and Communication …, 2012 | 12* | 2012 |
| Inspection of Various Object Tracking Techniques AM Jacob, J Anitha International Journal of Engineering and Innovative Technology (IJEIT) 2 (6 …, 2012 | 12 | 2012 |
| Appraisal of deep-learning techniques on computer-aided lung cancer diagnosis with computed tomography screening SA Agnes, J Anitha Journal of Medical Physics 45 (2), 98-106, 2020 | 11 | 2020 |
