[HTML][HTML] Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm

AH Alharbi, SK Towfek, AA Abdelhamid, A Ibrahim… - Biomimetics, 2023 - mdpi.com
The virus that causes monkeypox has been observed in Africa for several years, and it has
been linked to the development of skin lesions. Public panic and anxiety have resulted from …

Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection

S Asif, M Zhao, F Tang, Y Zhu, B Zhao - Neural Networks, 2023 - Elsevier
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 …

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 …

Monkeypox diagnosis with interpretable deep learning

MM Ahsan, MS Ali, MM Hassan, TA Abdullah… - IEEE …, 2023 - ieeexplore.ieee.org
As the world gradually recovers from the impacts of COVID-19, the recent global spread of
Monkeypox disease has raised concerns about another potential pandemic, highlighting the …

[HTML][HTML] Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach …

MK Islam, MM Rahman, MS Ali, SM Mahim… - Machine Learning with …, 2023 - Elsevier
Accurate and timely detection and classification of lung abnormalities are crucial for effective
diagnosis and treatment planning. In recent years, Deep Learning (DL) techniques have …

[HTML][HTML] A review on the use of machine learning techniques in monkeypox disease prediction

S Rampogu - Science in One Health, 2023 - Elsevier
Infectious diseases have been posing to be a global threat in the recent times and are
progressing from endemics to pandemics. The early detection and finding a better cure is …

[HTML][HTML] SkinNet-INIO: multiclass skin lesion localization and classification using fusion-assisted deep neural networks and improved nature-inspired optimization …

M Hussain, MA Khan, R Damaševičius, A Alasiry… - Diagnostics, 2023 - mdpi.com
Background: Using artificial intelligence (AI) with the concept of a deep learning-based
automated computer-aided diagnosis (CAD) system has shown improved performance for …

[HTML][HTML] Detection of monkeypox disease from human skin images with a hybrid deep learning model

F Uysal - Diagnostics, 2023 - mdpi.com
Monkeypox, a virus transmitted from animals to humans, is a DNA virus with two distinct
genetic lineages in central and eastern Africa. In addition to zootonic transmission through …

[HTML][HTML] Detection of Monkeypox cases based on symptoms using XGBoost and Shapley additive explanations methods

A Farzipour, R Elmi, H Nasiri - Diagnostics, 2023 - mdpi.com
The monkeypox virus poses a novel public health risk that might quickly escalate into a
worldwide epidemic. Machine learning (ML) has recently shown much promise in …

A novel approach for best parameters selection and feature engineering to analyze and detect diabetes: Machine learning insights

MS Ali, MK Islam, AA Das, DUS Duranta… - BioMed Research …, 2023 - Wiley Online Library
Humans are familiar with “diabetes,” a chronic metabolic disease that causes resistance to
insulin in the human body, and about 425 million cases worldwide. Diabetes is a hazard to …