Sanjay Saxena

Sanjay Saxena

Sanjay Saxena is an Assistant Professor in Department of Computer Science & Engineering, International Institute of Information Technology, Bhubaneswar, India. He has completed Ph.D. from Indian Institute of Technology (BHU), Varanasi, India in High Performance Medical Image Processing. Also, he completed Post Doctorate Research from Perelman School of Medicine, University of Pennsylvania, United States of America and worked on Brain Tumor (Glioblastoma) segmentation and analysis. He has published several research papers in peer reviewed international journals and conferences.

Publications

Deep Learning Applications in Medical Imaging
Deep Learning Applications in Medical Imaging
Sanjay Saxena, Sudip Paul. © 2021. 274 pages.
Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis...
Malaria Parasites Detection Using Deep Neural Network
Malaria Parasites Detection Using Deep Neural Network
Biswajit Jena, Pulkit Thakar, Vedanta Nayak, Gopal Krishna Nayak, Sanjay Saxena. © 2021. 14 pages.
Malaria is a dreadful infectious disease caused by the bite of female Anopheles mosquito, by the protozoan parasites of the genus Plasmodium. It's an epidemic disease and...
Brain Tumour Segmentation in FLAIR MRI Using Sliding Window Texture Feature Extraction Followed by Fuzzy C-Means Clustering
Brain Tumour Segmentation in FLAIR MRI Using Sliding Window Texture Feature Extraction Followed by Fuzzy C-Means Clustering
Sanjay Saxena, Nitu Kumari, Swati Pattnaik. © 2021. 20 pages.
In this paper, a hybrid approach using sliding window mechanism followed by fuzzy c means clustering is proposed for the automated brain tumour extraction. The proposed method...
Deep Learning in Computational Neuroscience
Deep Learning in Computational Neuroscience
Sanjay Saxena, Sudip Paul, Adhesh Garg, Angana Saikia, Amitava Datta. © 2020. 21 pages.
Computational neuroscience is inspired by the mechanism of the human brain. Neural networks have reformed machine learning and artificial intelligence. Deep learning is a type of...
Brain Tumor and Its Segmentation From Brain MRI Sequences
Brain Tumor and Its Segmentation From Brain MRI Sequences
Sanjay Saxena, Puspanjali Mohapatra, Swati Pattnaik. © 2019. 22 pages.
Automated segmentation of tumorous region from the brain magnetic resonance image (MRI) is the procedure of extrication anomalous tissues from regular tissues, such as white...