60 citations · 68 across the 8 of their papers we have counts for
8 papers
IPD:An Incremental Prototype based DBSCAN for large-scale data with cluster representatives
Jayasree Saha, Jayanta Mukherjee
DBSCAN is a fundamental density-based clustering technique that identifies any arbitrary shape of the clusters. However, it becomes infeasible while handling big data. On the other…
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…
Anveshak - A Groundtruth Generation Tool for Foreground Regions of Document Images
Soumyadeep Dey, Jayanta Mukherjee, Shamik Sural +1
We propose a graphical user interface based groundtruth generation tool in this paper. Here, annotation of an input document image is done based on the foreground pixels. Foregroun…