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02/16/2022
IPD:An Incremental Prototype based DBSCAN for large-scale data with cluster representatives
DBSCAN is a fundamental density-based clustering technique that identifi...
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03/07/2020
Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images
Prediction of survivability in a patient for tumor progression is useful...
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03/07/2020
Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images
We report a model to predict patient's radiological response to curative...
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01/30/2020
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme
Recently, CNN is a popular choice to handle the hyperspectral image clas...
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11/20/2019
CNAK : Cluster Number Assisted K-means
Determining the number of clusters present in a dataset is an important ...
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11/11/2018
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
Conventional Convolutional neural networks (CNN) are trained on large do...
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08/09/2017
