Detection and categorization of acute intracranial hemorrhage subtypes using a multilayer DenseNet-ResNet architecture with improved random forest classifier.
Balraj M. Monica JeneferK. Senathipathi Aarthi AnnapandiPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- detection rate
- automatic detection
- management system
- object detection
- detection method
- detection algorithm
- false positives
- false alarms
- text categorization
- architectural design
- real time
- software architecture
- ct images
- remote sensing
- fine grained categorization
- detection accuracy
- multi layer
- face detection
- feature selection