scholarly journals Computer Graphics-Introduction to The State of The Art Technology and Its Applications: Recent Three Dimensional Medical Image

2004 ◽  
Vol 124 (6) ◽  
pp. 349-352
Author(s):  
YOSHIHIRO GOTO
Keyword(s):  
Computer Graphics ◽  
Medical Image ◽  
State Of The Art ◽  
Three Dimensional ◽  
The State

Hydrogel-Based Bioinks for Three-Dimensional Bioprinting: Patent Analysis

2021 ◽  
Vol 7 (1) ◽  
pp. 3
Author(s):  
Ahmed Fatimi
Keyword(s):  
Tissue Engineering ◽  
Detailed Analysis ◽  
State Of The Art ◽  
Three Dimensional ◽  
Patent Analysis ◽  
The State ◽  
Driving Factors ◽  
3D Bioprinting ◽  
Preparation Methods

There are a variety of hydrogel-based bioinks commonly used in three-dimensional bioprinting. In this study, in the form of patent analysis, the state of the art has been reviewed by introducing what has been patented in relation to hydrogel-based bioinks. Furthermore, a detailed analysis of the patentability of the used hydrogels, their preparation methods and their formulations, as well as the 3D bioprinting process using hydrogels, have been provided by determining publication years, jurisdictions, inventors, applicants, owners, and classifications. The classification of patents reveals that most inventions intended for hydrogels used as materials for prostheses or for coating prostheses are characterized by their function or properties Knowledge clusters and expert driving factors show that biomaterials, tissue engineering, and biofabrication research is concentrated in the most patents.

scholarly journals 3D Printing in Heterogeneous Catalysis—The State of the Art

Materials ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 4534 ◽  
Author(s):  
Elżbieta Bogdan ◽  
Piotr Michorczyk
Keyword(s):  
Additive Manufacturing ◽  
Heterogeneous Catalysis ◽  
3D Printing ◽  
Chemical Synthesis ◽  
State Of The Art ◽  
Three Dimensional ◽  
Production Method ◽  
The State ◽  
Monolithic Catalysts ◽  
Selection Of

This paper describes the process of additive manufacturing and a selection of three-dimensional (3D) printing methods which have applications in chemical synthesis, specifically for the production of monolithic catalysts. A review was conducted on reference literature for 3D printing applications in the field of catalysis. It was proven that 3D printing is a promising production method for catalysts.

Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis

2017 ◽  
pp. 6-7 ◽  
Author(s):  
Vincent Christlein ◽  
Florin C. Ghesu ◽  
Tobias Würfl ◽  
Andreas Maier ◽  
Fabian Isensee ◽  
...  
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Medical Image ◽  
State Of The Art ◽  
Medical Image Analysis ◽  
The State

63-LAYER TCM WIRING WITH THREE-DIMENSIONAL CROSSTALK CONSTRAINTS

1995 ◽  
Vol 06 (03) ◽  
pp. 497-508
Author(s):  
HOWARD H. CHEN ◽  
C.K. WONG
Keyword(s):  
Glass Ceramic ◽  
Thermal Conduction ◽  
State Of The Art ◽  
Three Dimensional ◽  
The State ◽  
Layer Assignment

In the state-of-the-art thermal conduction module (TCM) design, as many as 63 thinfilm and glass-ceramic layers can be used to interconnect 121 chips.1,2 The total amount of noise on the package consists of not only the crosstalk between adjacent signal lines in the X and Y directions, but also the coupled noise between adjacent pins and vias in the Z direction. This paper describes the wiring and layer assignment strategies to minimize both the XY and Z-direction coupled noise in TCM design.

scholarly journals Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization

2021 ◽  
Vol 7 (2) ◽  
pp. 35
Author(s):  
Boris Shirokikh ◽  
Alexey Shevtsov ◽  
Alexandra Dalechina ◽  
Egor Krivov ◽  
Valery Kostjuchenko ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Graphics Processing Units ◽  
Medical Image ◽  
State Of The Art ◽  
Three Dimensional ◽  
Medical Image Segmentation ◽  
Small Scale ◽  
Processing Unit ◽  
Central Processing ◽  
Lung Cancer Diagnosis

The prevailing approach for three-dimensional (3D) medical image segmentation is to use convolutional networks. Recently, deep learning methods have achieved human-level performance in several important applied problems, such as volumetry for lung-cancer diagnosis or delineation for radiation therapy planning. However, state-of-the-art architectures, such as U-Net and DeepMedic, are computationally heavy and require workstations accelerated with graphics processing units for fast inference. However, scarce research has been conducted concerning enabling fast central processing unit computations for such networks. Our paper fills this gap. We propose a new segmentation method with a human-like technique to segment a 3D study. First, we analyze the image at a small scale to identify areas of interest and then process only relevant feature-map patches. Our method not only reduces the inference time from 10 min to 15 s but also preserves state-of-the-art segmentation quality, as we illustrate in the set of experiments with two large datasets.

scholarly journals Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review.

2021 ◽  
Author(s):  
Lingfei Ma ◽  
Ying Li ◽  
Jonathan Li ◽  
Cheng Wang ◽  
Ruisheng Wang ◽  
...  
Keyword(s):  
Object Detection ◽  
Laser Scanning ◽  
State Of The Art ◽  
Three Dimensional ◽  
Point Clouds ◽  
Extraction Methods ◽  
The State ◽  
Integrated Analysis ◽  
High Definition ◽  
Accurate Localization

The mobile laser scanning (MLS) technique has attracted considerable attention for providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced point-cloud coverage of the road environment. Recently, there has been an increasing number of applications of MLS in the detection and extraction of urban objects. This paper presents a systematic review of existing MLS related literature. This paper consists of three parts. Part 1 presents a brief overview of the state-of-the-art commercial MLS systems. Part 2 provides a detailed analysis of on-road and off-road information inventory methods, including the detection and extraction of on-road objects (e.g., road surface, road markings, driving lines, and road crack) and off-road objects (e.g., pole-like objects and power lines). Part 3 presents a refined integrated analysis of challenges and future trends. Our review shows that MLS technology is well proven in urban object detection and extraction, since the improvement of hardware and software accelerate the efficiency and accuracy of data collection and processing. When compared to other review papers focusing on MLS applications, we review the state-of-the-art road object detection and extraction methods using MLS data and discuss their performance and applicability. The main contribution of this review demonstrates that the MLS systems are suitable for supporting road asset inventory, ITS-related applications, high-definition maps, and other highly accurate localization services.

scholarly journals VIRTUAL REALITY IN BIOMEDICAL

2013 ◽  
pp. 71-75
Author(s):  
DEVENDRA NAGAL ◽  
S. S. MEHTA ◽  
SWATI SHARMA
Keyword(s):  
Virtual Reality ◽  
Computer Graphics ◽  
Real World ◽  
State Of The Art ◽  
Three Dimensional ◽  
Complex Data ◽  
Research Topics ◽  
Simulation Data ◽  
Simulated Environments ◽  
Real World Problems

Virtual reality (VR) encompasses a number of surgical research topics, including computer graphics, imaging, visualization, simulation, data fusion and telemedicine. In this paper we define virtual reality and each of these areas, focusing on a state-of-the-art review of the research and recent accomplishments. .Virtual reality is a powerful technology for solving today’s real-world problems. Virtual reality refers to computer-generated, interactive, three-dimensional (3-D) environments into which patients are immersed. It provides a way for surgeon to visualize, manipulate and interact with simulated environments through the use of computers and extremely complex data.

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