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Lipismita Panigrahi
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2020 – today
- 2024
[j4]Lipismita Panigrahi
, Tej Bahadur Chandra
, Atul Kumar Srivastava
, Neeraj Varshney
, Kamred Udham Singh
, Shambhu Mahato
:
mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features. Int. J. Intell. Syst. 2024: 1-24 (2024)
[i1]Lipismita Panigrahi, Prianka Rani Saha, Jurdana Masuma Iqrah
, Sushil K. Prasad:
A Novel Breast Ultrasound Image Augmentation Method Using Advanced Neural Style Transfer: An Efficient and Explainable Approach. CoRR abs/2411.00254 (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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