Skip to main navigation
Skip to search
Skip to main content
Manipal Academy of Higher Education, Manipal, India Home
Help & FAQ
Home
Profiles
Research units
Research output
Equipment
Search by expertise, name or affiliation
Deep learning based detection of monkeypox virus using skin lesion images
Tushar Nayak
,
Krishnaraj Chadaga
,
Niranjana Sampathila
*
,
Hilda Mayrose
, Nitila Gokulkrishnan
,
Muralidhar Bairy G
,
Srikanth Prabhu
,
Swathi K. S
,
Shashikiran Umakanth
*
Corresponding author for this work
School of Computer Engineering
Department of Biomedical Engineering, Manipal Institute of Technology, Manipal
Manipal Institute of Management, Manipal
Melaka Manipal Medical College, Manipal
Research output
:
Contribution to journal
›
Article
›
peer-review
69
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Deep learning based detection of monkeypox virus using skin lesion images'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
INIS
skin
100%
viruses
100%
detection
100%
learning
100%
images
100%
accuracy
75%
datasets
75%
performance
50%
cameras
50%
artificial intelligence
25%
computers
25%
vision
25%
devices
25%
tools
25%
validation
25%
humans
25%
prediction
25%
public health
25%
auc
25%
symptoms
25%
efficiency
25%
world health organization
25%
death
25%
precision
25%
machine learning
25%
emergencies
25%
neural networks
25%
capture
25%
metrics
25%
covid-19
25%
Computer Science
Residual Neural Network
100%
Deep Learning Method
100%
Performance Metric
50%
Deep Learning Model
50%
Public Health Emergency
50%
Explainable Artificial Intelligence
50%
Training Dataset
50%
World Health Organization
50%
Health Professionals
50%
Machine Learning
50%
Learning System
50%
Computer Vision
50%
Deep Neural Network
50%
Leaning Parameter
50%
Chemical Engineering
Deep Learning Method
100%
Learning System
33%
Artificial Intelligence
33%
Deep Neural Network
33%
Neuroscience
Monkeypox Virus
100%
Monkeypox
50%
Neural Network
25%
Biochemistry, Genetics and Molecular Biology
Monkeypox Virus
100%
Artificial Intelligence
25%