ROI-based features for classification of skin diseases using a multi-layer neural network
Skin diseases have a serious impact on human life and health. This article aims to represent the classification accuracy of skin diseases for supporting the physicians' correct decision on patients for early treatment. In particular, 100 images in each type of five skin diseases from ISIC datab...
Saved in:
Main Authors: | Nguyen, Thanh-Hai (Author), Ngo, Ba-Viet (Author) |
---|---|
Other Authors: | HCMC University of Technology and Education, Vietnam (Contributor) |
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2021-07-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fast pornographic image recognition using compact holistic features and multi-layer neural network
by: Wijaya, I Gede Pasek Suta, et al.
Published: (2019) -
Internal and collective interpretation for improving human interpretability of multi-layered neural networks
by: Kamimura, Ryotaro
Published: (2019) -
Noise-robust classification with hypergraph neural network
by: Vu Dang, Nguyen Trinh, et al.
Published: (2021) -
Comparison of convolutional neural network and bag of features for multi-font digit recognition
by: Mohd Kadir, Nasibah Husna, et al.
Published: (2019) -
Multi-feature based automatic facial expression recognition using deep convolutional neural network
by: Dixit, Anjali, et al.
Published: (2022)