Capsule network approach for monkeypox (CAPSMON) detection and subclassification in medical imaging system
Abstract In response to the pressing need for the detection of Monkeypox caused by the Monkeypox virus (MPXV), this study introduces the Enhanced Spatial-Awareness Capsule Network (ESACN), a Capsule Network architecture designed for the precise multi-class classification of dermatological images. Ad...
Saved in:
Main Authors: | M. Nuthal Srinivasan, Mohamed Yacin Sikkandar, Maryam Alhashim, M. Chinnadurai |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-87993-7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Orthogonal Capsule Network with Meta-Reinforcement Learning for Small Sample Hyperspectral Image Classification
by: Prince Yaw Owusu Amoako, et al.
Published: (2025-01-01) -
Enhancing classification efficiency in capsule networks through windowed routing: tackling gradient vanishing, dynamic routing, and computational complexity challenges
by: Gangqi Chen, et al.
Published: (2024-11-01) -
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism
by: Avi Deb Raha, et al.
Published: (2024-01-01) -
Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques
by: Prince Odame, et al.
Published: (2025-01-01) -
Improving the Accuracy of Batik Classification using Deep Convolutional Auto Encoder
by: Muhammad Faqih Dzulqarnain, et al.
Published: (2024-12-01)