Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review.
Yogesh H. BhosaleK. Sridhar PatnaikPublished in: Multim. Tools Appl. (2023)
Keyphrases
- medical imaging
- meta analysis
- x ray
- machine learning
- medical images
- neural network
- pattern recognition
- image segmentation
- systematic review
- medical image processing
- image analysis
- image registration
- anatomical structures
- image processing
- gene expression profiles
- volumetric data
- machine learning methods
- magnetic resonance imaging
- ct images
- magnetic resonance images
- imaging modalities
- computer aided diagnosis
- feature selection
- support vector machine
- image guided
- computer vision
- intraoperative
- data mining
- supervised learning
- remote sensing
- three dimensional
- skin lesion
- microarray data
- support vector machine svm
- unsupervised learning
- sequence data
- genome sequences
- data analysis
- data sets
- empirical studies
- knowledge discovery
- feature space