Lipismita Panigrahi

An enhancement in automatic seed selection in breast cancer ultrasound images using texture features

Keshri Verma, Lipismita Panigrahi, Bikesh Kumar Singh, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Sampling correctly for improving classification accuracy: a hybrid higher order neural classifier (HHONC) approach

Kaberi Das, Debahuti Mishra, Lipismita Panigrahi, 2012, ICACCI '12.

Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution

Kesari Verma, Lipismita Panigrahi, Bikesh Kumar Singh, 2019, Expert Syst. Appl..

Removal and interpolation of missing values using wavelet neural network for heterogeneous data sets

Kaberi Das, Debahuti Mishra, Lipismita Panigrahi, 2012, ICACCI '12.

Automated Boundary Detection of Breast Cancer in Ultrasound Images Using Watershed Algorithm

Kesari Verma, Satya Prakash Sahu, Lipismita Panigrahi, 2018 .

Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm

Kesari Verma, Lipismita Panigrahi, Bikesh Kumar Singh, 2017, Expert Syst. Appl..

Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images

Kesari Verma, Lipismita Panigrahi, Bikesh Kumar Singh, 2018, IET Comput. Vis..

Empirical Comparison of Sampling Strategies for Classification

Kaberi Das, Debahuti Mishra, Lipismita Panigrahi, 2012 .

Missing Value Imputation Using Hybrid Higher Order Neural Classifier

Kaberi Das, Debahuti Mishra, Lipismita Panigrahi, 2014 .