5 papers
Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images
Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das +5
We report a model to predict patient's radiological response to curative radiation therapy (RT) for non-small-cell lung cancer (NSCLC). Cone-Beam Computed Tomography images acquire…
Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images
Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das +5
Prediction of survivability in a patient for tumor progression is useful to estimate the effectiveness of a treatment protocol. In our work, we present a model to take into account…
CNAK : Cluster Number Assisted K-means
Jayasree Saha, Jayanta Mukherjee
Determining the number of clusters present in a dataset is an important problem in cluster analysis. Conventional clustering techniques generally assume this parameter to be provid…
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
K. Sai Ram, Jayanta Mukherjee, Amit Patra +1
Conventional Convolutional neural networks (CNN) are trained on large domain datasets and are hence typically over-represented and inefficient in limited class applications. An eff…
Analysis of Deformation Fields in Spatio-temporal CBCT images of lungs for radiotherapy patients
Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das +5
Deformable registration of spatiotemporal Cone-Beam Computed Tomography (CBCT) images taken sequentially during the radiation treatment course yields a deformation field for a pair…