scholarly journals Automatic creation of annotations for chest radiographs based on the positional information extracted from radiographic image reports

2021 ◽  
pp. 106331
Author(s):  
Bowen Wang ◽  
Toshihiro Takeda ◽  
Kento Sugimoto ◽  
Jiahao Zhang ◽  
Shoya Wada ◽  
...  
Keyword(s):  
Positional Information ◽  
Chest Radiographs ◽  
Radiographic Image

Radiographic Findings of Primary Lung Cancer with Delayed Detection on Chest Radiographs

1999 ◽  
Vol 40 (5) ◽  
pp. 879
Author(s):  
Young Min Kim ◽  
Jin Hwan Kim ◽  
Chang Kyu Yang ◽  
Bin Young Jung ◽  
Kwang Jin Jun ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Primary Lung Cancer ◽  
Chest Radiographs ◽  
Radiographic Findings

Assessment of Congestive Heart Failure in Chest Radiographs

1990 ◽  
Vol 31 (5) ◽  
pp. 469-471 ◽  
Author(s):  
L. Henriksson ◽  
A. Sundin ◽  
O. Smedby ◽  
P. Albrektsson
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Chest Radiographs

Proposal and implementation of parking guidance method

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 12-14
Author(s):  
Akira Kawai ◽  
Masahiro Kenmotsu
Keyword(s):  
Traffic Congestion ◽  
Positional Information ◽  
Associate Professor ◽  
Parking Lots ◽  
Gps Technology ◽  
The World ◽  
Car Park ◽  
Free Spaces ◽  
Interest In Research ◽  
Gain Access

Traffic congestion in parking lots is a common phenomenon across the world and larger commercial facilities with multiple parking areas may be particularly affected as many users struggle to gain access to sought-after parking spots close to their destinations. These popular zones often see traffic jams forming as many vehicles arrive within these regions, while less popular areas may remain free from congestion. This creates a very uneven distribution of traffic, with motorists in popular areas becoming trapped and unable to leave bottleneck regions. As a result, the car park management industry has taken an interest in research into parking guidance. Parking guidance has been developed to help improve efficiencies in car parks, guiding drivers to specific spaces using GPS technology to highlight free spaces near their location detailing the most efficient way to get to that spot. Associate Professor Akira Kawai, who is based at Shiga University in Japan, has been working on a KAKEN project that seeks to leverage real-time positional information to help guide drivers to free spaces within parking lots.

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