Hemorrhage detection and segmentation in traumatic pelvic injuries
P Davuluri, J Wu, Y Tang, CH Cockrell… - … methods in medicine, 2012 - Wiley Online Library
Automated hemorrhage detection and segmentation in traumatic pelvic injuries is vital for
fast and accurate treatment decision making. Hemorrhage is the main cause of deaths in …
fast and accurate treatment decision making. Hemorrhage is the main cause of deaths in …
An automated method for hemorrhage detection in traumatic pelvic injuries
P Davuluri, J Wu, KR Ward, CH Cockrell… - … Conference of the …, 2011 - ieeexplore.ieee.org
Hemorrhage is the main cause of deaths that occurs within first 24 hours after a traumatic
pelvic injury. Therefore, it is very important to determine hemorrhage quickly. Hemorrhages …
pelvic injury. Therefore, it is very important to determine hemorrhage quickly. Hemorrhages …
Performance of a deep learning algorithm for automated segmentation and quantification of traumatic pelvic hematomas on CT
The volume of pelvic hematoma at CT has been shown to be the strongest independent
predictor of major arterial injury requiring angioembolization in trauma victims with pelvic …
predictor of major arterial injury requiring angioembolization in trauma victims with pelvic …
Volumetric analysis of pelvic hematomas after blunt trauma using semi-automated seeded region growing segmentation: a method validation study
D Dreizin, UK Bodanapally, N Neerchal, N Tirada… - Abdominal …, 2016 - Springer
Objective Manually segmented traumatic pelvic hematoma volumes are strongly predictive
of active bleeding at conventional angiography, but the method is time intensive, limiting its …
of active bleeding at conventional angiography, but the method is time intensive, limiting its …
Haemorrhages detection using geometrical techniques
Aim With an increasing percentage of retinal pathology because of diabetes, eye screening
for diabetic retinopathy (DR) is in demand throughout the world. Haemorrhages (HEs) are …
for diabetic retinopathy (DR) is in demand throughout the world. Haemorrhages (HEs) are …
[PDF][PDF] An efficient hemorrhage detection system using decision tree classifier
P Nivedhitha, S Sankar… - International Journal of …, 2019 - researchgate.net
the visual representations of the inner constituents of body along with the functions of either
organs or tissues comprising its physiology are developed in medical imaging. These …
organs or tissues comprising its physiology are developed in medical imaging. These …
Fracture detection in traumatic pelvic CT images
J Wu, P Davuluri, KR Ward, C Cockrell… - International Journal …, 2012 - Wiley Online Library
Fracture detection in pelvic bones is vital for patient diagnostic decisions and treatment
planning in traumatic pelvic injuries. Manual detection of bone fracture from computed …
planning in traumatic pelvic injuries. Manual detection of bone fracture from computed …
Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model
Purpose To reduce the inter-and intra-rater variability as well as time and effort, a method for
computer-assisted delineation of hematoma is proposed. Delineation of hematoma is done …
computer-assisted delineation of hematoma is proposed. Delineation of hematoma is done …
Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images
S Vasilache, K Ward, C Cockrell, J Ha… - BMC medical informatics …, 2009 - Springer
Background The analysis of pelvic CT scans is a crucial step for detecting and assessing the
severity of Traumatic Pelvic Injuries. Automating the processing of pelvic CT scans could …
severity of Traumatic Pelvic Injuries. Automating the processing of pelvic CT scans could …
Multi-scale attentional network for multi-focal segmentation of active bleed after pelvic fractures
Trauma is the worldwide leading cause of death and disability in those younger than 45
years, and pelvic fractures are a major source of morbidity and mortality. Automated …
years, and pelvic fractures are a major source of morbidity and mortality. Automated …