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ORCIDLipismita Panigrahi
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2020 – today
- 2024
[j4]Lipismita Panigrahi
, Tej Bahadur Chandra, Atul Kumar Srivastava, Neeraj Varshney, Kamred Udham Singh, Shambhu Mahato:
m B C C f : Multilevel Breast Cancer Classification Framework Using Radiomic Features. Int. J. Intell. Syst. 2024: 1-24 (2024)
2010 – 2019
- 2019
- [j3]Lipismita Panigrahi, Kesari Verma, Bikesh Kumar Singh:
Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution. Expert Syst. Appl. 115: 486-498 (2019) - 2018
- [j2]Lipismita Panigrahi, Kesari Verma, Bikesh Kumar Singh:
Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images. IET Comput. Vis. 12(8): 1067-1077 (2018) - 2017
- [j1]Bikesh Kumar Singh, Kesari Verma, Lipismita Panigrahi, A. S. Thoke:
Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm. Expert Syst. Appl. 90: 209-223 (2017) - 2016
- [c3]Lipismita Panigrahi, Keshri Verma, Bikesh Kumar Singh:
An enhancement in automatic seed selection in breast cancer ultrasound images using texture features. ICACCI 2016: 1096-1102 - 2012
- [c2]Prem Pujari Pati, Kaberi Das, Debahuti Mishra, Shruti Mishra, Lipismita Panigrahi:
Sampling correctly for improving classification accuracy: a hybrid higher order neural classifier (HHONC) approach. ICACCI 2012: 97-101 - [c1]Lipismita Panigrahi, Ruchi Ranjan, Kaberi Das, Debahuti Mishra:
Removal and interpolation of missing values using wavelet neural network for heterogeneous data sets. ICACCI 2012: 1004-1009
Coauthor Index
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