Lipismita Panigrahi

Evaluation of Image Features Within and Surrounding Lesion Region for Risk Stratification in Breast Ultrasound Images

K. Verma, B. Singh, Lipismita Panigrahi, 2019, IETE Journal of Research.

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..

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).

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 Image Captioning Model

S. K. Chandra, Lipismita Panigrahi, Raghab Ranjan Panigrahi, 2023, 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON).

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..

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

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

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

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

$\mathcal{m}\mathrm{B}\mathrm{C}{\mathrm{C}}_{}$

Tej Bahadur Chandra, K. Singh, A. Srivastava, 2024, International Journal of Intelligent Systems.