Biswajit Jena

An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature

Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena · Machine Vision and Applications · 2021 · 76 citations

Subsequent Segmentation, Engineering, Machine Learning +16

Convolutional neural network and its pretrained models for image classification and object detection: A survey

Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena · Concurrency and Computation Practice and Experience · 2021 · 62 citations

Artificial Intelligence, Image Classification, Deep Neural Networks +13

Analysis of depth variation of U-NET architecture for brain tumor segmentation

Biswajit Jena, Sarthak Jain, Gopal Krishna Nayak et al. · Multimedia Tools and Applications · 2022 · 42 citations

Depth Variation, Engineering, Neuroimaging Modality +15

Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation

Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra et al. · Computers in Biology and Medicine · 2023 · 41 citations

Neuro-oncology, Deep Learning Paradigm, Tumor Heterogeneity +10

Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework

Sanjay Saxena, Aaditya Agrawal, Biswajit Jena et al. · Neural Computing and Applications · 2023 · 21 citations

Engineering, High-grade Gliomas, Glioma +17