# Prakash Choudhary

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/prakash-choudhary/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,048 |
| Field | Handwritten Text Recognition Techniques |
| h-index | 18 |
| i10-index | 27 |
| Last Known Institution | Central University of Rajasthan |
| OpenAlex ID | https://openalex.org/A5055876182 |
| ORCID iD | 0000-0003-4337-7273 |
| Works | 73 |

## Researcher papers

- [Stroke prediction using artificial intelligence](https://scholariq.org/papers/stroke-prediction-using-artificial-intelligence/)
- [Segmentation and classification on chest radiography: a systematic survey](https://scholariq.org/papers/segmentation-and-classification-on-chest-radiography-a-systematic-survey/)
- [FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images](https://scholariq.org/papers/focuscovid-automated-covid-19-detection-using-deep-learning-with-chest-x-ray/)
- [Image annotation: Then and now](https://scholariq.org/papers/image-annotation-then-and-now/)
- [RETRACTED: <scp>MultiFeNet</scp> : Multi‐scale feature scaling in deep neural network for the brain tumour classification in <scp>MRI</scp> images](https://scholariq.org/papers/retracted-scp-multifenet-scp-multi-scale-feature-scaling-in-deep-neural-network/)
- [A comparative study for brain tumor detection in MRI images using texture features](https://scholariq.org/papers/a-comparative-study-for-brain-tumor-detection-in-mri-images-using-texture/)
- [A Comparative Analysis for Various Stroke Prediction Techniques](https://scholariq.org/papers/a-comparative-analysis-for-various-stroke-prediction-techniques/)
- [Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network](https://scholariq.org/papers/bangla-meitei-mayek-scripts-handwritten-character-recognition-using/)
- [An Integrated Machine Learning Approach for Congestive Heart Failure Prediction](https://scholariq.org/papers/an-integrated-machine-learning-approach-for-congestive-heart-failure-prediction/)
- [A comparative study of brain tumor classification on unbalanced dataset using deep neural networks](https://scholariq.org/papers/a-comparative-study-of-brain-tumor-classification-on-unbalanced-dataset-using/)
- [Enhanced residual-attention deep neural network for disease classification in maize leaf images](https://scholariq.org/papers/enhanced-residual-attention-deep-neural-network-for-disease-classification-in/)

## Researcher topics

- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Researcher university

- [Central University of Rajasthan](https://scholariq.org/institutions/central-university-of-rajasthan/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.