AIMC Topic: Imaging, Three-Dimensional

Clear Filters Showing 1761 to 1770 of 1894 articles

[Robotics Helps Usher in a New Era of Neurosurgery].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
The application of surgical robots in neurosurgery has formed a rapidly developing and fascinating new field that is revolutionizing the way neurosurgeries are performed. Herein, we discussed the prospects of the future development of neurosurgery ro...

Deep-learning-based 3D object salient detection via light-field integral imaging.

Optics letters
This Letter proposes an effective light-field 3D saliency object detection (SOD) method, which is inspired by the idea that the spatial and angular information inherent in a light-field implicitly contains the geometry and reflection characteristics ...

Artificial Intelligence and Machine Learning in Cardiac Electrophysiology.

Texas Heart Institute journal
Cardiac electrophysiology requires the processing of several patient-specific data points in real time to provide an accurate diagnosis and determine an optimal therapy. Expanding beyond the traditional tools that have been used to extract informatio...

Frameless Robot-Assisted vs Frame-Based Awake Deep Brain Stimulation Surgery: An Evaluation of Technique and New Challenges.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND: Methodological approaches to deep brain stimulation (DBS) continue to evolve from awake frame-based to asleep frameless procedures with robotic assistance, primarily directed to optimize operative efficiency, lead accuracy, and patient co...

Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Deep learning has achieved promising segmentation performance on 3D left atrium MR images. However, annotations for segmentation tasks are expensive, costly and difficult to obtain. In this paper, we introduce a novel hierarchical consistency regular...

Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Diffusion Tensor Imaging (DTI) is widely used to find brain biomarkers for various stages of brain structural and neuronal development. Processing DTI data requires a detailed Quality Assessment (QA) to detect artifactual volumes amongst a large pool...

[Application of digital medical technology in hepatopancreatobiliary surgery:20 years' retrospective review and prospect].

Zhonghua wai ke za zhi [Chinese journal of surgery]
Digital medicine has played a vital role in promoting the development of hepatobiliary and pancreatic surgery of China.The multidisciplinary integration of medical science and technology innovates research and development,and practice in clinical dia...

Can 3D artificial intelligence models outshine 2D ones in the detection of intracranial metastatic tumors on magnetic resonance images?

Journal of the Chinese Medical Association : JCMA
BACKGROUND: This study aimed to compare the prediction performance of two-dimensional (2D) and three-dimensional (3D) semantic segmentation models for intracranial metastatic tumors with a volume ≥ 0.3 mL.

DeepS: a web server for image optical sectioning and super resolution microscopy based on a deep learning framework.

Bioinformatics (Oxford, England)
MOTIVATION: Microscopy technology plays important roles in many biological research fields. Solvent-cleared brain high-resolution (HR) 3D image reconstruction is an important microscopy application. However, 3D microscopy image generation is time-con...

Spatio-temporal continuous gesture recognition under degraded environments: performance comparison between 3D integral imaging (InIm) and RGB-D sensors.

Optics express
In this paper, we introduce a deep learning-based spatio-temporal continuous human gesture recognition algorithm under degraded conditions using three-dimensional (3D) integral imaging. The proposed system is shown as an efficient continuous human ge...