Prakash Choudhary

Orcid: 0000-0003-4337-7273

According to our database1, Prakash Choudhary authored at least 32 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MultiFeNet: Multi-scale feature scaling in deep neural network for the brain tumour classification in MRI images.
Int. J. Imaging Syst. Technol., January, 2024

A comparative study of brain tumor classification on unbalanced dataset using deep neural networks.
Biomed. Signal Process. Control., 2024

2023
COVID-SegNet: encoder-decoder-based architecture for COVID-19 lesion segmentation in chest X-ray.
Multim. Syst., August, 2023

ReSE-Net: Enhanced UNet architecture for lung segmentation in chest radiography images.
Comput. Intell., June, 2023

A study on zero-shot learning from semantic viewpoint.
Vis. Comput., May, 2023

Segmentation and classification on chest radiography: a systematic survey.
Vis. Comput., March, 2023

A stacked ensemble model for automatic stroke prediction using only raw electrocardiogram.
Intell. Syst. Appl., 2023

ALCNN: Attention based lightweight convolutional neural network for pneumothorax detection in chest X-rays.
Biomed. Signal Process. Control., 2023

2022
OWAE-Net: COVID-19 detection from ECG images using deep learning and optimized weighted average ensemble technique.
Intell. Syst. Appl., 2022

FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images.
Evol. Syst., 2022

EfficientUNet: Modified encoder-decoder architecture for the lung segmentation in chest x-ray images.
Expert Syst. J. Knowl. Eng., 2022

2021
Meitei Mayek handwritten dataset: compilation, segmentation, and character recognition.
Vis. Comput., 2021

A novel approach based on fully connected weighted bipartite graph for zero-shot learning problems.
J. Ambient Intell. Humaniz. Comput., 2021

Chest disease radiography in twofold: using convolutional neural networks and transfer learning.
Evol. Syst., 2021

Handwritten Meitei Mayek recognition using three-channel convolution neural network of gradients and gray.
Comput. Intell., 2021

Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network.
Appl. Intell., 2021

2020
Line and word segmentation of handwritten text document by mid-point detection and gap trailing.
Multim. Tools Appl., 2020

Local texture descriptors and projection histogram based handwritten Meitei Mayek character recognition.
Multim. Tools Appl., 2020

2019
A Comparative Analysis for Various Stroke Prediction Techniques.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

A Study on Deep Learning for Breast Cancer Detection in Histopathological Images.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

Manipuri Handwritten Character Recognition by Convolutional Neural Network.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

Two Efficient Image Bag Generators for Multi-instance Multi-label Learning.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

2018
A Revamp Approach for Training of HMM to Accelerate Classification of 16S rRNA Gene Sequences.
Trans. Comput. Sci., 2018

Image annotation: Then and now.
Image Vis. Comput., 2018

Recognition of Meitei Mayek Using Statistical Texture and Histogram Features.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018

Recognition of Handwritten Meitei Mayek and English Alphabets Using Combination of Spatial Features.
Proceedings of the Intelligent Systems Design and Applications, 2018

An Advance Mobility Management Scheme in Wireless Network.
Proceedings of the 9th International Conference on Computing, 2018

2017
Amalgamated Approach for Devanagari Script Corpus for OCR & Demographic Purpose and XML for Linguistic Annotation.
Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017

2016
A Four-Tier Annotated Urdu Handwritten Text Image Dataset for Multidisciplinary Research on Urdu Script.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016

2015
A Framework for Compilation of Multi-lingual Handwritten Database: Four Levels XML Ground-Truth.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

2014
An annotated Urdu corpus of handwritten text image and benchmarking of corpus.
Proceedings of the 37th International Convention on Information and Communication Technology, 2014

A unified approach for development of Urdu Corpus for OCR and demographic purpose.
Proceedings of the Seventh International Conference on Machine Vision, 2014


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