[PDF][PDF] A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification.
This study presents a deep learning model for efficient intracranial hemorrhage (ICH)
detection and subtype classification on non-contrast head computed tomography (CT) …
detection and subtype classification on non-contrast head computed tomography (CT) …
[引用][C] Enhancing the Segmentation Accuracy of the Otsu Method for Calculating Blood Vessel Rupture Volumes in CT-Scan Images
Guslendra, Yuhandri, S Defit - International Journal of Pattern …, 2024 - World Scientific
The precise quantification of cerebral haemorrhage volume assumes paramount
significance, given its consequential impact on subsequent medical interventions. While …
significance, given its consequential impact on subsequent medical interventions. While …