Image Data Processing By Hybrid Sampling

1977 ◽  
Author(s):  
M. A. Narasimhan ◽  
K. R. Rao ◽  
V. Raghava
Keyword(s):  
Data Processing ◽  
Image Data ◽  
Hybrid Sampling

Simulation of image data processing by hybrid sampling

1981 ◽  
Vol 8 (2) ◽  
pp. 153-158
Author(s):  
V. Raghava ◽  
K.R. Rao ◽  
M.A. Narasimhan
Keyword(s):  
Data Processing ◽  
Image Data ◽  
Hybrid Sampling

Introduction to Image Data Processing

2018 ◽  
pp. 49-68
Author(s):  
Stacy A. C. Nelson ◽  
Siamak Khorram
Keyword(s):  
Data Processing ◽  
Image Data

scholarly journals Sistem Retensi dan Alih Image Rekam Medis Inaktif RS Khusus Kanker MRCCC Siloam Semanggi

2021 ◽  
Vol 6 (1) ◽  
pp. 139
Author(s):  
Sudjiran Sudjiran ◽  
Akbar Syahbanta Limbong
Keyword(s):  
Data Processing ◽  
Image Data ◽  
Patient Data ◽  
Retention Data ◽  
Data Retention ◽  
Web Based ◽  
Patient Medical Record ◽  
Hospital Employees ◽  
Retention System ◽  
A Company

Along with the development of technology, the speed of data processing is needed in order to compete with competitors. A company must have an advantage over other companies if it does not want to lose in the competition. MRCCC Siloam Semanggi is a company that provides health services for cancer patients. One of the transaction processes within the hospital is sensing data in the form of images of patient data. Image data processing activities at this hospital are not yet structured and require a database in order to assist in fast data processing. This study aims to create an image transfer system to transfer physical documents into digital documents. This system is useful for hospital employees to be able to find documents easily for certain purposes, the system is made web-based using XAMPP, using PHP language with MySQL database. The results of the analysis of research that has been done, there are problems that arise related to the retention system in hospital patient data. Retention data collection activities are usually carried out by sorting out patient medical record documents from those not recorded on a computer.

The MSFC Image Data Processing System

Computer ◽  
1977 ◽  
Vol 10 (8) ◽  
pp. 37-44 ◽  
Author(s):  
R.M. Wilson ◽  
D.L. Teuber ◽  
D.T. Thomas ◽  
J.R. Watkins ◽  
C.M. Cooper
Keyword(s):  
Data Processing ◽  
Processing System ◽  
Image Data ◽  
Data Processing System

scholarly journals Correction to: Soybean iron deficiency chlorosis high throughput phenotyping using an unmanned aircraft system

Plant Methods ◽  
2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Austin A. Dobbels ◽  
Aaron J. Lorenz
Keyword(s):  
Iron Deficiency ◽  
Data Collection ◽  
Data Processing ◽  
High Throughput ◽  
Image Data ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft System ◽  
Iron Deficiency Chlorosis ◽  
High Throughput Phenotyping ◽  
Aircraft System

In the original article [1], under the subheading “Image data processing”, last paragraph, last sentence that reads as “The least …… data collection” was incorrectly published. The correct sentence should read as “Least-significant differences (P < 0.20) were calculated for all 36 trials on both ground-based and UAS-image based scores for both dates of data collection.” The original article has been corrected.

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