| Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution L Panigrahi, K Verma, BK Singh Expert Systems with Applications 115, 486-498, 2019 | 65 | 2019 |
| Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine … BK Singh, K Verma, L Panigrahi, AS Thoke Expert Systems with Applications 90, 209-223, 2017 | 40 | 2017 |
| Hybrid segmentation method based on multi‐scale Gaussian kernel fuzzy clustering with spatial bias correction and region‐scalable fitting for breast US images L Panigrahi, K Verma, BK Singh IET Computer Vision 12 (8), 1067-1077, 2018 | 16 | 2018 |
| An enhancement in automatic seed selection in breast cancer ultrasound images using texture features L Panigrahi, K Verma, BK Singh 2016 International Conference on Advances in Computing, Communications and …, 2016 | 12 | 2016 |
| Automated boundary detection of breast cancer in ultrasound images using watershed algorithm Y Bafna, K Verma, L Panigrahi, SP Sahu Ambient Communications and Computer Systems: RACCCS 2017, 729-738, 2018 | 10 | 2018 |
| Evaluation of image features within and surrounding lesion region for risk stratification in breast ultrasound images L Panigrahi, K Verma, BK Singh IETE Journal of Research 68 (2), 935-946, 2022 | 9 | 2022 |
| Missing value imputation using hybrid higher order neural classifier L Panigrahi, K Das, D Mishra Indian Journal of Science and Technology, 2007-2014, 2014 | 7 | 2014 |
| Empirical comparison of sampling strategies for classification K Das, PP Pati, D Mishra, L Panigrahi Procedia engineering 38, 1072-1076, 2012 | 4 | 2012 |
| Industry 4.0 based machine learning models for anomalous product detection and classification S Kumar, SK Chandra, RN Shukla, L Panigrahi 2022 OPJU International Technology Conference on Emerging Technologies for …, 2023 | 3 | 2023 |
| Removal and interpolation of missing values using wavelet neural network for heterogeneous data sets L Panigrahi, R Ranjan, K Das, D Mishra Proceedings of the International Conference on Advances in Computing …, 2012 | 3 | 2012 |
| mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features. L Panigrahi, TB Chandra, AK Srivastava, N Varshney, KU Singh, ... International Journal of Intelligent Systems 2024, 2024 | | 2024 |
| An Enhancement in K-means Algorithm for Automatic Ultrasound Image Segmentation L Panigrahi, RR Panigrahi International Conference on Biomedical Engineering Science and Technology, 1-8, 2023 | | 2023 |
| Segmented Region based Feature Extraction for Image Classification L Panigrahi, K Verma 2021 Emerging Trends in Industry 4.0 (ETI 4.0), 1-9, 2021 | | 2021 |
| Sampling correctly for improving classification accuracy: a hybrid higher order neural classifier (HHONC) approach PP Pati, K Das, D Mishra, S Mishra, L Panigrahi Proceedings of the International Conference on Advances in Computing …, 2012 | | 2012 |
| : Multilevel Breast Cancer Classification Framework Using Radiomic Features L Panigrahi, TB Chandra, AK Srivastava, N Varshney, KU Singh, ... International Journal of Intelligent Systems 2024, 0 | | |
Bikesh Kumar SinghAssociate Professor, Department of Biomedical Engineering N.I.T. RaipurVerified email at nitrr.ac.in
