Detection of Vitiligo Through Machine Learning and Computer‐Aided Techniques: A Systematic Review

S Tanvir, SA Syed, S Hussain, R Zia… - BioMed Research …, 2024 - Wiley Online Library
Background and Objective: Vitiligo is a chronic skin damage disease, triggered by
differential melanocyte death. Vitiligo (0.5%–1% of the population) is one of the most severe …

[HTML][HTML] Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review

A Kallipolitis, K Moutselos… - BMC Medical …, 2025 - bmcmedinformdecismak …
Vitiligo, alopecia areata, atopic, and stasis dermatitis are common skin conditions that pose
diagnostic and assessment challenges. Skin image analysis is a promising noninvasive …

A Deep Learning-based EfficientNetB0 Smoker Surveillance System for Enhancing Public Safety

S Sharma, K Guleria, SN Panda… - 2024 5th International …, 2024 - ieeexplore.ieee.org
Smoking is one of the risk factors associated with health conditions. The increase in smoking
leads to various health issues such as lung cancer, oral cancer, respiratory problems, heart …

Mobilenet-v2: An enhanced skin disease classification by attention and multi-scale features

Nirupama, Virupakshappa - Journal of Imaging Informatics in Medicine, 2024 - Springer
The increasing prevalence of skin diseases necessitates accurate and efficient diagnostic
tools. This research introduces a novel skin disease classification model leveraging …

An enhanced DarkNet53-based YOLOv3 feature pyramid network for real-time object detection

S Sharma, K Guleria, S Tiwari… - 2024 International …, 2024 - ieeexplore.ieee.org
With the rapid escalation of automatic and self-driving vehicles, the most efficient, safe, and
reliable object detection system has been a big requirement for the automobile industry …

A Privacy-Protected Federated Learning with Cross-silo Brain Tumour Dataset for Glioma Detection

S Sharma, K Guleria, A Dogra, SK Agrawal - SN Computer Science, 2024 - Springer
Brain tumours are abnormal growths of cells within the brain or the central spinal canal. The
occurrence of this disease in a critical location can cause significant neurological …

An Efficient TinyVGG Model for Sugarcane Leaf Disease Classification in Precision Agriculture

A Saini, K Guleria, S Sharma - 2024 2nd World Conference on …, 2024 - ieeexplore.ieee.org
Worldwide, sugarcane is an essential crop used to produce sugar and ethanol. However,
several diseases, especially those that harm its leaves, pose serious obstacles to its …

Development of a Deep Learning-Based Automated Analysis System for Facial Vitiligo Treatment Evaluation

S Lee, YW Heo, S Lee, SB Park - Journal of Biomedical …, 2024 - koreascience.kr
Vitiligo is a condition characterized by the destruction or dysfunction of melanin-producing
cells in the skin, resulting in a loss of skin pigmentation. Facial vitiligo, specifically affecting …

Monkeypox disease recognition model based on improved SE-InceptionV3

J Chen, Z Lu, S Kang - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
In the wake of the global spread of monkeypox, accurate disease recognition has become
crucial. This study introduces an improved SE-InceptionV3 model, embedding the SENet …

VGG16-based Multiclass Classification of Grapevine Leaf Diseases for Precision Viticulture

G Singh, K Guleria, S Sharma - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Grape is one of the fruit which contains a rich amount of minerals including manganese,
potassium, and other vitamins namely C, B, and K, which are essential to prevent …