YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images

Vidhya, V., Raghavendra, U., Gudigar, A., Basak, S., Mallappa, S., Hegde, A., Menon, G. R., Barua, P. D., Salvi, M., Ciaccio, E. J., Molinari, F., & Acharya, U. R. (2023). YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images. IEEE Access, 11, 141309–141328. https://doi.org/10.1109/access.2023.3339560
Authors:
V. Vidhya
U. Raghavendra
Anjan Gudigar
Sudipta Basak
Sankalp Mallappa
Ajay Hegde
Girish R. Menon
Prabal Datta Barua
Massimo Salvi
Filippo Molinari
Edward J. Ciaccio
U. Rajendra Acharya
Affiliated Authors:
Edward J. Ciaccio
Columbia Affiliation:
Author Keywords:
computed tomography
image segmentation
solid modeling
feature extraction
shape measurement
synchronous digital hierarchy
stacking
cranial
biomedical image processing
cascaded attention module
medical image processing
intracranial hematoma
tbi
yolo
elink
Publication Type:
Article
Unique ID:
10.1109/ACCESS.2023.3339560
DOI:
10.1109/ACCESS.2023.3339560
Journal:
IEEE Access
Publication Date:
Data Source:
Web of Science
Source Link:
View Web of Science Record

Record Created: