Opportunistic screening techniques for analysis of CT scans
Abstract Purpose of Review Opportunistic screening is a combination of techniques to
identify subjects of high risk for osteoporotic fracture using routine clinical CT scans …
identify subjects of high risk for osteoporotic fracture using routine clinical CT scans …
Progress in fully automated abdominal CT interpretation
RM Summers - American Journal of Roentgenology, 2016 - Am Roentgen Ray Soc
OBJECTIVE. Automated analysis of abdominal CT has advanced markedly over just the last
few years. Fully automated assessment of organs, lymph nodes, adipose tissue, muscle …
few years. Fully automated assessment of organs, lymph nodes, adipose tissue, muscle …
Spine-GAN: Semantic segmentation of multiple spinal structures
Spinal clinicians still rely on laborious workloads to conduct comprehensive assessments of
multiple spinal structures in MRIs, in order to detect abnormalities and discover possible …
multiple spinal structures in MRIs, in order to detect abnormalities and discover possible …
Vertebral body compression fractures and bone density: automated detection and classification on CT images
JE Burns, J Yao, RM Summers - Radiology, 2017 - pubs.rsna.org
Purpose To create and validate a computer system with which to detect, localize, and
classify compression fractures and measure bone density of thoracic and lumbar vertebral …
classify compression fractures and measure bone density of thoracic and lumbar vertebral …
[HTML][HTML] Development of a spine X-ray-based fracture prediction model using a deep learning algorithm
Background Since image-based fracture prediction models using deep learning are lacking,
we aimed to develop an X-ray-based fracture prediction model using deep learning with …
we aimed to develop an X-ray-based fracture prediction model using deep learning with …
Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+ pose model
A Rasoulian, R Rohling… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Segmentation of the spinal column from computed tomography (CT) images is a
preprocessing step for a range of image-guided interventions. One intervention that would …
preprocessing step for a range of image-guided interventions. One intervention that would …
Automated system for the detection of thoracolumbar fractures using a CNN architecture
A damage to the spinal cord can affect its natural functioning both temporarily or
permanently resulting in loss of sensation and functioning of muscles. Spinal cord injury …
permanently resulting in loss of sensation and functioning of muscles. Spinal cord injury …
Detection of vertebral body fractures based on cortical shell unwrapping
Assessment of trauma patients with multiple injuries can be one of the most clinically
challenging situations dealt with by the radiologist. We propose a fully automated method to …
challenging situations dealt with by the radiologist. We propose a fully automated method to …
Spotting L3 slice in CT scans using deep convolutional network and transfer learning
In this article, we present a complete automated system for spotting a particular slice in a
complete 3D Computed Tomography exam (CT scan). Our approach does not require any …
complete 3D Computed Tomography exam (CT scan). Our approach does not require any …
Unifying neural learning and symbolic reasoning for spinal medical report generation
Automated medical report generation in spine radiology, ie, given spinal medical images
and directly create radiologist-level diagnosis reports to support clinical decision making, is …
and directly create radiologist-level diagnosis reports to support clinical decision making, is …