Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories
The rates of skin cancer (SC) are rising every year and becoming a critical health issue worldwide. SC’s early and accurate diagnosis is the key procedure to reduce these rates and improve survivability. However, the manual diagnosis is exhausting, complicated, expensive, prone to diagnostic error,...
Main Authors: | Omneya Attallah, Maha Sharkas |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
|
Series: | Contrast Media & Molecular Imaging |
Online Access: | http://dx.doi.org/10.1155/2021/7192016 |
Similar Items
-
Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers
by: Dina A. Ragab, et al.
Published: (2019-10-01) -
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases
by: Omneya Attallah, et al.
Published: (2021-03-01) -
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks
by: Omneya Attallah, et al.
Published: (2020-09-01) -
Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders
by: Omneya Attallah, et al.
Published: (2020-01-01) -
Fetal Brain Abnormality Classification from MRI Images of Different Gestational Age
by: Omneya Attallah, et al.
Published: (2019-09-01)