Application of artificial intelligence techniques for monkeypox: a systematic review

K Chadaga, S Prabhu, N Sampathila, S Nireshwalya… - Diagnostics, 2023 - mdpi.com
Monkeypox or Mpox is an infectious virus predominantly found in Africa. It has spread to
many countries since its latest outbreak. Symptoms such as headaches, chills, and fever are …

MOX-NET: Multi-stage deep hybrid feature fusion and selection framework for monkeypox classification

S Maqsood, R Damaševičius, S Shahid… - Expert Systems with …, 2024 - Elsevier
Background: Monkeypox virus has quickly expanded throughout several nations, raising
serious public health concerns. Lack of precautionary measures raises concerns about the …

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 …

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 …

MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection

X Cao, W Ye, K Moise, M Coffee - arXiv preprint arXiv:2411.10888, 2024 - arxiv.org
In the aftermath of the COVID-19 pandemic and amid accelerating climate change,
emerging infectious diseases, particularly those arising from zoonotic spillover, remain a …

[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 …