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Neetu Verma
Institution:
Motilal Nehru National Institute of Technology
Observed institution:
Motilal Nehru National Institute of Technology
ORCID:
0009-0008-4561-6905
Observed ORCID:
0009-0008-4561-6905
OpenAlex ID:
A5102983515
A comprehensive review on step-based skin cancer detection using machine learning and deep learning methods
2025
·
Neetu Verma
, Ranvijay
, et al.
·
Archives of Computational Methods in Engineering
·
23
Hybrid of Deep Feature Extraction and Machine Learning Ensembles for Imbalanced Skin Cancer Datasets
2024
·
Neetu Verma
, Ranvijay
, et al.
·
Experimental Dermatology
·
14
PDF
Enhancing Skin Cancer Classification with Ensemble Models
2024
·
Divyanshi Singh
, Neetu Verma
, et al.
·
Communications in computer and information science
·
3
Robust Segmentation of Skin Lesions via Confidence‐Guided ConvLSTM Integrated With Advanced Curriculum Strategies
2026
·
Neetu Verma
, Ranvijay Ranvijay
, et al.
·
International Journal of Imaging Systems and Technology
·
2
PDF
Video Summarization Using Firefly Algorithm
2024
·
Shashank Pandey
, Sakshi Dwivedi
, et al.
·
Communications in computer and information science
·
1
Optimizing Skin Cancer Detection with EfficientNetB7: A Deep Learning Approach
2026
·
Rajneesh Kumar Yadav
, Yogendra Mohan
, et al.
·
Lecture notes in networks and systems
Benign and Malignant Skin Lesion Classification from Melanoma Skin Cancer Images Using Machine Learning Models
2026
·
Biren Pradhan
, Neetu Verma
, et al.
·
Lecture notes in networks and systems
Enhancing Multimodal Skin Cancer Detection Using Bidirectional Cross-Attention between Clinical Metadata and Extracted Image Features
2026
·
Neetu Verma
, Ranvijay Ranvijay
, et al.
·
Communications in computer and information science
XcUNet for Skin Lesion Segmentation Followed by Clustering Based Post-processing
2025
·
Neetu Verma
, Ranvijay
, et al.
·
Communications in computer and information science
Skin Cancer Detection Using Ensembling of DenseNet, EfficientNet, and ConvNet
2025
·
Priyanshu Singh
, M. D. Altaf Ahmed
, et al.
·
Lecture notes in electrical engineering
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Works count:
10
Citation count:
43
H-index:
3
I10-index:
2
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