At L2, moderate spinal canal stenosis due to tumor encroachment was noted (Figures 1 and 2). The patient was urgently treated with IV dexamethasone. He declined surgical intervention but agreed to radiation therapy. Malignant spinal cord compression (MSCC) is an oncologic emergency that affects ...
To alleviate the social contradiction between limited medical resources and increasing medical needs, the medical image-assisted diagnosis based on deep learning has become the research focus in Wise Information Technology of med. Most of the existing me
An Integral Image is a transformed representation of an input image, where each pixel value corresponds to the sum of pixel values in a rectangular region of the original image. This transformation allows for efficient computation of the sum of pixel values in any given rectangular block of the...
Ultrasound technology can provide high-resolution imaging of blood flow following spinal cord injury (SCI). Blood flow imaging may improve critical care management of SCI, yet its duration is limited clinically by the amount of contrast agent injection required for high-resolution, continuous monitoring...
Childhood onset of spinal cord injury: Self-esteem and self-perception It was hypothesized that adolescence is a crucial period in psychological development and that the effect of spinal cord injury on body image, self-concept and social relationships during adolescence will have a long-term negative...
In the clinic, computed tomography (CT) has evolved into an essential modality for diagnostic imaging by multidetector row CT (MDCT) and image guided intervention by cone beam CT (CBCT). Recognizing the increasing importance of axial MDCT/CBCT in clinical and preclinical applications, and the exis...
As the financial availability of AI-based tools reduces, they have a potential to decrease the workload on practitioners and nurses. The following paragraphs introduce the AI-driven evolution of the major medical spheres (disease prevention, diagnostics and treatment). Disease prevention may benefit ...
The large-scale datasets of extracted key images and their cat- egorization, embedded vector labels and sentence descrip- tions can be harnessed to alleviate the deep learning "data- hungry" obstacle in the medical domain. 1. Introduction The ImageNet Large Scale Visual Recognition Chal- le...
To further investigate regional and neural activity-dependent proton dynamics in the brain, the development of a device with both wide-area detectability and high spatial-ltemporal resolution is necessary. Therefore, we develop an image sensor with a high spatial-temporal resolution specifically ...
Automatic Segmentation of the Spinal Cord Using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features Segmenting tubular structures from medical image data is a common problem; be it vessels, airways, or nervous tissue like the spinal cord. Many application-specific segmentat...