Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence

Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence

Monkeypox (Mpox) resurfaced in January 2022 as a rare zoonotic disease that spreads to many countries. Though the virus is not as dangerous as COVID-19, it has still caused many fatalities worldwide. The Mpox virus spreads when people are in close contact with infected individuals. Among many sympto...

Full description

Bibliographic Details
Main Authors:	Tushar Nayak, Krishnaraj Chadaga, Niranjana Sampathila, Hilda Mayrose, G. Muralidhar Bairy, Srikanth Prabhu, Swathi S. Katta, Shashikiran Umakanth
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2023-12-01
Series:	Applied Mathematics in Science and Engineering
Subjects:	monkeypox chickenpox measles skin lesion deep learning explainable artificial intelligence (xai)
Online Access:	http://dx.doi.org/10.1080/27690911.2023.2225698

Similar Items

Deep learning based detection of monkeypox virus using skin lesion images
by: Tushar Nayak, et al.
Published: (2023-06-01)

An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas
by: Krishnaraj Chadaga, et al.
Published: (2024-01-01)

Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence
by: Tejas Kadengodlu Bhat, et al.
Published: (2024-12-01)

Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence
by: Susmita S, et al.
Published: (2023-08-01)

A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence
by: Krishnaraj Chadaga, et al.
Published: (2023-03-01)

Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
by: Krishnaraj Chadaga, et al.
Published: (2023-02-01)

Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI
by: Anisha Palkar, et al.
Published: (2024-01-01)

An explainable multi-class decision support framework to predict COVID-19 prognosis utilizing biomarkers
by: Krishnaraj Chadaga, et al.
Published: (2023-12-01)

The importance of differentiating monkeypox from chickenpox: possible response for better preparedness
by: Rozhan Khezri, et al.
Published: (2023-10-01)

An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers
by: Dhruva Darshan B S, et al.
Published: (2024-12-01)

An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning
by: Hilda Mayrose, et al.
Published: (2024-01-01)

Differences and similarities between Monkeypox and Chickenpox in children during an outbreak
by: E. Riche, et al.
Published: (2024-03-01)

Explainable machine learning methods to predict postpartum depression risk
by: Susmita Shivaprasad, et al.
Published: (2024-12-01)

A machine learning and explainable artificial intelligence approach for predicting the efficacy of hematopoietic stem cell transplant in pediatric patients
by: Krishnaraj Chadaga, et al.
Published: (2023-11-01)

Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes
by: B. S. Dhruva Darshan, et al.
Published: (2025-01-01)

Monkeypox Clinical Features and Differential Diagnosis: First Case in Campania Region
by: Novella Carannante, et al.
Published: (2022-08-01)

Detection of sickle cell disease using deep neural networks and explainable artificial intelligence
by: Goswami Neelankit Gautam, et al.
Published: (2024-04-01)

Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach
by: Krishnaraj Chadaga, et al.
Published: (2022-12-01)

A decision support system for osteoporosis risk prediction using machine learning and explainable artificial intelligence
by: Varada Vivek Khanna, et al.
Published: (2023-12-01)

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases
by: Roshan Kumar, et al.
Published: (2024-01-01)

Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
by: Krishnaraj Chadaga, et al.
Published: (2024-01-01)

Enhanced surveillance of monkeypox in Bas-Uélé, Democratic Republic of Congo: the limitations of symptom-based case definitions
by: Gaspard Mande, et al.
Published: (2022-09-01)

Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers
by: Varada Vivek Khanna, et al.
Published: (2024-12-01)

Simultaneous chickenpox and measles infection among migrant children who stayed in Italy during the second half of June 2011
by: Igor Ivi?-Hofman, et al.
Published: (2011-11-01)

A case report of monkeypox as a result of conflict in the context of a measles campaign
by: E.L. Jarman, et al.
Published: (2022-12-01)

Chickenpox Mimicking Monkeypox in Adult with Diabetes Mellitus and Acute Kidney Injury: Diagnosis and Management
by: Maya Wardiana, et al.
Published: (2021-11-01)

Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
by: Krishnaraj Chadaga, et al.
Published: (2023-12-01)

Computer-Aided Detection and Classification of Monkeypox and Chickenpox Lesion in Human Subjects Using Deep Learning Framework
by: Dilber Uzun Ozsahin, et al.
Published: (2023-01-01)

Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks
by: Tushar Nayak, et al.
Published: (2024-12-01)

Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings
by: Anusha Krishnamoorthy, et al.
Published: (2023-02-01)

Corrections to “An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning”
by: Hilda Mayrose, et al.
Published: (2024-01-01)

SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques
by: Krishnaraj Chadaga, et al.
Published: (2024-04-01)

A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System
by: Ruey-Kai Sheu, et al.
Published: (2022-10-01)

A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome
by: Varada Vivek Khanna, et al.
Published: (2023-02-01)

Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence
by: Chadaga Krishnaraj, et al.
Published: (2024-12-01)

Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
by: Khaleque Insia, et al.
Published: (2023-12-01)

Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach
by: Meera Radhakrishnan, et al.
Published: (2024-01-01)

Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
by: Tim Hulsen
Published: (2023-08-01)

A 16 × 16 Patch-Based Deep Learning Model for the Early Prognosis of Monkeypox from Skin Color Images
by: Muhammad Asad Arshed, et al.
Published: (2024-02-01)

An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients
by: Krishnaraj Chadaga, et al.
Published: (2024-10-01)