54 citations · 251 across the 28 of their papers we have counts for
29 papers
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
The stochastic gradient descent (SGD) optimizers are generally used to train the convolutional neural networks (CNNs). In recent years, several adaptive momentum based SGD optimize…
Bag of Visual Words (BoVW) with Deep Features -- Patch Classification Model for Limited Dataset of Breast Tumours
Suvidha Tripathi, Satish Kumar Singh, Lee Hwee Kuan
Currently, the computational complexity limits the training of high resolution gigapixel images using Convolutional Neural Networks. Therefore, such images are divided into patches…
Ensembling Handcrafted Features with Deep Features: An Analytical Study for Classification of Routine Colon Cancer Histopathological Nuclei Images
Suvidha Tripathi, Satish Kumar Singh
The use of Deep Learning (DL) based methods in medical histopathology images have been one of the most sought after solutions to classify, segment, and detect diseased biopsy sampl…
An Object Aware Hybrid U-Net for Breast Tumour Annotation
Suvidha Tripathi, Satish Kumar Singh
In the clinical settings, during digital examination of histopathological slides, the pathologist annotate the slides by marking the rough boundary around the suspected tumour regi…
Cell nuclei classification in histopathological images using hybrid OLConvNet
Suvidha Tripathi, Satish Kumar Singh
Computer-aided histopathological image analysis for cancer detection is a major research challenge in the medical domain. Automatic detection and classification of nuclei for cance…
Local Directional Gradient Pattern: A Local Descriptor for Face Recognition
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
In this paper a local pattern descriptor in high order derivative space is proposed for face recognition. The proposed local directional gradient pattern (LDGP) is a 1D local micro…