Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection
The rising number of cases of human Mpox has emerged as a major global concern due to
the daily increase of cases in several countries. The disease presents various skin …
the daily increase of cases in several countries. The disease presents various skin …
A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection
SH Khan, R Iqbal, S Naz - arXiv preprint arXiv:2311.10754, 2023 - arxiv.org
Monkeypox is a zoonotic infectious disease induced by the Monkeypox virus, part of the
poxviridae orthopoxvirus group initially discovered in Africa and gained global attention in …
poxviridae orthopoxvirus group initially discovered in Africa and gained global attention in …
Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection
Human monkeypox is a very unusual virus that can devastate society. Early identification
and diagnosis are essential to treat and manage an illness effectively. Human monkeypox …
and diagnosis are essential to treat and manage an illness effectively. Human monkeypox …
An efficientnet to classify monkeypox-comparable skin lesions using transfer learning
Monkeypox is an infectious illness caused by the DNA-based monkeypox virus, which has
raised public health concerns due to its rapid transmission to over 50 countries. Direct …
raised public health concerns due to its rapid transmission to over 50 countries. Direct …
LitefusionNet: Boosting the Performance for Medical Image Classification with an Intelligent and Lightweight Feature Fusion Network
S Asif, Q Ain, R Al-Sabri, M Abdullah - Journal of Computational Science, 2024 - Elsevier
Medical image analysis plays a crucial role in modern healthcare for accurate diagnosis and
treatment. However, the inherent challenges and limitations posed by the complexity and …
treatment. However, the inherent challenges and limitations posed by the complexity and …
Large-margin saliency-aware binarized cnn for monkeypox virus image classification
D Biswas, J Tesic - 2024 - researchsquare.com
The recent widespread increase of the Mpox (formerly monkeypox) virus infections in the
South Asian and African countries has raised concerns among medical professionals …
South Asian and African countries has raised concerns among medical professionals …
RS-FME-SwinT: A Novel Feature Map Enhancement Framework Integrating Customized SwinT with Residual and Spatial CNN for Monkeypox Diagnosis
SH Khan, R Iqbal - arXiv preprint arXiv:2410.01216, 2024 - arxiv.org
Monkeypox (MPox) has emerged as a significant global concern, with cases steadily
increasing daily. Conventional detection methods, including polymerase chain reaction …
increasing daily. Conventional detection methods, including polymerase chain reaction …
[PDF][PDF] Enhancing Skin Cancer Detection Using AlexNet Empowered Transfer Learning
D Baig, M Amjad - Medinformatics, 2023 - researchgate.net
Skin diseases necessitate early detection for effective treatment, and deep learning
technology has proven instrumental in their classification. In this study, we introduce an …
technology has proven instrumental in their classification. In this study, we introduce an …
Deep Learning-based Multiclass Skin Disease Classification: Comparative Assessment of VGG19, YOLOv3, and MobileNet
R Sharma, P Cajla, S Hariharan… - 2024 International …, 2024 - ieeexplore.ieee.org
The diagnosis of skin diseases by mere inspection can be a tough ask considering the
distinctive and complicated nature of skin lesions. This study looks into the application of …
distinctive and complicated nature of skin lesions. This study looks into the application of …
[PDF][PDF] Enhancing Monkeypox Diagnostics: Exploring the Potential of EfficientNet and Big Transfer
K Nur - Journal of Image and Graphics, 2024 - researchgate.net
The purpose of this research is to investigate the utilization of hybrid models in
dermatological diagnostics and to demonstrate the potential of these models to advance …
dermatological diagnostics and to demonstrate the potential of these models to advance …