Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet

no code implementations • 12 Jan 2024 • Sumit Pandey, Satyasaran Changdar, Mathias Perslev, Erik B Dam

Automated segmentation of distinct tumor regions is critical for accurate diagnosis and treatment planning in pediatric brain tumors.

Brain Tumor Segmentation Segmentation +1

Solution of Definite Integrals using Functional Link Artificial Neural Networks

no code implementations • 21 Apr 2019 • Satyasaran Changdar, Snehangshu Bhattacharjee

This paper discusses a new method to solve definite integrals using artificial neural networks.

A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast Enhancement Purpose of Low Contrast Human Brain CT scan images

no code implementations • 7 Apr 2015 • Sabyasachi Mukhopadhyay, Soham Mandal, Sawon Pratiher, Satyasaran Changdar, Ritwik Burman, Nirmalya Ghosh, Prasanta K. Panigrahi

In this paper, a comparative study between proposed hyper kurtosis based modified duo-histogram equalization (HKMDHE) algorithm and contrast limited adaptive histogram enhancement (CLAHE) has been presented for the implementation of contrast enhancement and brightness preservation of low contrast human brain CT scan images.