Artificial Intelligence in the detection of skin cancer: state of the art
M Strzelecki, M Kociołek, M Strąkowska… - Clinics in …, 2024 - Elsevier
The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if
detected early. For this reason, various systems of skin lesion image analysis, which support …
detected early. For this reason, various systems of skin lesion image analysis, which support …
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 …
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 …
genetic lineages in central and eastern Africa. In addition to zootonic transmission through …
CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection
The rising global incidence of human Mpox cases necessitates prompt and accurate
identification for effective disease control. Previous studies have predominantly delved into …
identification for effective disease control. Previous studies have predominantly delved into …
Federated deep learning for monkeypox disease detection on gan-augmented dataset
After the coronavirus disease 2019 (COVID-19) outbreak, the viral infection known as
monkeypox gained significant attention, and the World Health Organization (WHO) classified …
monkeypox gained significant attention, and the World Health Organization (WHO) classified …
Deep and transfer learning approaches for automated early detection of monkeypox (Mpox) alongside other similar skin lesions and their classification
The world faces multiple public health emergencies simultaneously, such as COVID-19 and
Monkeypox (mpox). mpox, from being a neglected disease, has emerged as a global threat …
Monkeypox (mpox). mpox, from being a neglected disease, has emerged as a global threat …
MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans
Lung cancer is one of the leading causes of cancer-related deaths worldwide. To reduce the
mortality rate, early detection and proper treatment should be ensured. Computer-aided …
mortality rate, early detection and proper treatment should be ensured. Computer-aided …
MonDiaL-CAD: Monkeypox diagnosis via selected hybrid CNNs unified with feature selection and ensemble learning
O Attallah - Digital Health, 2023 - journals.sagepub.com
Objective Recently, monkeypox virus is slowly evolving and there are fears it will spread as
COVID-19. Computer-aided diagnosis (CAD) based on deep learning approaches …
COVID-19. Computer-aided diagnosis (CAD) based on deep learning approaches …
Review of federated learning and machine learning-based methods for medical image analysis
N Hernandez-Cruz, P Saha… - Big Data and …, 2024 - search.proquest.com
Federated learning is an emerging technology that enables the decentralised training of
machine learning-based methods for medical image analysis across multiple sites while …
machine learning-based methods for medical image analysis across multiple sites while …