Nidhi Goel

Orcid: 0000-0001-7089-7077

Affiliations:
  • Indira Gandhi Delhi Technical University for Women, IGDTUW, Department of Electronics and Communication Engineering, Kashmere Gate, Delhi, India


According to our database1, Nidhi Goel authored at least 28 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Prospect of large language models and natural language processing for lung cancer diagnosis: A systematic review.
Expert Syst. J. Knowl. Eng., November, 2024

Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review.
Artif. Intell. Rev., July, 2024

One-dimensional atrous conv-net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain-computer interface applications.
Expert Syst. J. Knowl. Eng., April, 2024

CTNet: convolutional transformer network for diabetic retinopathy classification.
Neural Comput. Appl., 2024

Comprehensive evaluation of a new automatic scoring system for cleanliness assessment in video capsule endoscopy.
Int. J. Imaging Syst. Technol., 2024

Artificial Intelligence in Gastrointestinal Bleeding Analysis for Video Capsule Endoscopy: Insights, Innovations, and Prospects (2008-2023).
CoRR, 2024

WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation.
CoRR, 2024

Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy.
CoRR, 2024

2023
A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets.
Expert Syst. J. Knowl. Eng., November, 2023

EEG Datasets in Machine Learning Applications of Epilepsy Diagnosis and Seizure Detection.
SN Comput. Sci., September, 2023

Automatic Detection of Colorectal Polyps with Mixed Convolutions and its Occlusion Testing.
Neural Comput. Appl., September, 2023

Exploring the role of ChatGPT in medical image analysis.
Biomed. Signal Process. Control., September, 2023

A color-based deep-learning approach for tissue slide lung cancer classification.
Biomed. Signal Process. Control., September, 2023

Tensor-RT-Based Transfer Learning Model for Lung Cancer Classification.
J. Digit. Imaging, August, 2023

Effect of selection bias on Automatic Colonoscopy Polyp Detection.
Biomed. Signal Process. Control., August, 2023

Automated system-based classification of lung cancer using machine learning.
Int. J. Medical Eng. Informatics, 2023

FPGA implementation of AES encryptor based on rolled and masked approach.
Int. J. Inf. Comput. Secur., 2023

Automated BBPS Scoring in Colonoscopy: A Comparative Analysis of Pre-trained Deep Learning Architectures.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022
Dilated CNN for abnormality detection in wireless capsule endoscopy images.
Soft Comput., 2022

Enhancement algorithm for high visibility of underwater images.
IET Image Process., 2022

Peri-ictal and non-seizure EEG event detection using generated metadata.
Expert Syst. J. Knowl. Eng., 2022

Investigating the significance of color space for abnormality detection in wireless capsule endoscopy images.
Biomed. Signal Process. Control., 2022

2021
FishResNet: Automatic Fish Classification Approach in Underwater Scenario.
SN Comput. Sci., 2021

Enhancement of Nonuniformly Illuminated Underwater Images.
Int. J. Pattern Recognit. Artif. Intell., 2021

Dual branch convolutional neural network for copy move forgery detection.
IET Image Process., 2021

Datasets of Wireless Capsule Endoscopy for AI-Enabled Techniques.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020
Crosspooled FishNet: transfer learning based fish species classification model.
Multim. Tools Appl., 2020

2018
Dual Domain Approach for Colour Enhancement of Underwater Images.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018


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