Computer-assisted data processing of images of mucosal and submucosal blood vessels of the stomach obtained by visible and infrared endoscopy using a directional-contrast filter

1994 ◽  
Vol 40 (5) ◽  
pp. 621-628 ◽  
Author(s):  
Hidetoshi Ohta ◽  
Yutaka Kohgo ◽  
Yasuo Takahashi ◽  
Ryuzou Koyama ◽  
Hideo Suzuki ◽  
...  
Keyword(s):  
Data Processing ◽  
Blood Vessels ◽  
Computer Assisted

scholarly journals ANALISIS DAMPAK ELECTRONIC DATA PROCESSING DALAM PROSES AUDIT INTERNAL BAGI AUDITOR INTERNAL PT BANK SULUTGO

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Reynaldi R. Mandagi ◽  
Sifrid S. Pangemanan ◽  
Heince R. N. Wokas
Keyword(s):  
Information Technology ◽  
Data Processing ◽  
Internal Audit ◽  
Electronic Data Processing ◽  
Computer Assisted ◽  
Accounting System ◽  
Similar Data ◽  
Audit Process ◽  
Electronic Data ◽  
And Control

Electronic Data Processing (EDP) is the use of automated methods for commercial data processing. As part of information technology, EDP performs repeated data processing of similar data with relatively simple forms of processing. Standar Profesional Akuntan Publik (SPAP) also emphasizes the need for auditor's understanding in examining a computer-based accounting system. This technique in Indonesian is known as Teknik Audit Berbantuan Komputer (TABK) or Computer Assisted Audit Techniques (CAATs) set forth in PSA No. 59 on Computer Assisted Auditing Techniques (SA Section 327). The method used in this study is a qualitative descriptive method by collecting and analyzing data and then drawing conclusions. The results obtained show that young auditors are more adaptable to the development of information technology, especially in conducting computerized internal audit and control. Impacts given in the audit process include increasing independence for internal auditors, providing accuracy and speed in managing data, and producing output from more accurate audit data processing. Impact on internal controls is to make the auditor perform internal control procedures after applying the EDP in the audit process to minimize the possibility of process errors, secure the program and data, and control the audit process to ensure that the audit has been properly implemented. The audit process using EDP is faced with several risks such as errors in data processing caused by human error, data loss caused by computer problems, and the computer used is exposed to the virus.Keywords : Analysis, Electronic Data Processing, Internal Audit

Incorporation of a SMAC analyzer into the data-processing procedures of a computer-assisted laboratory.

1979 ◽  
Vol 25 (3) ◽  
pp. 466-469 ◽  
Author(s):  
P E Undrill ◽  
R E Stroud ◽  
N Paterson
Keyword(s):  
Quality Control ◽  
Performance Analysis ◽  
Data Processing ◽  
Computer Hardware ◽  
Small Computer ◽  
Computer Assisted ◽  
Control Information ◽  
Service Operation ◽  
Processing Techniques ◽  
Initiation Period

Abstract This paper describes the incorporation of a SMAC (Technicon) analyzer into data-processing techniques that have been developed on existing computer hardware during several years. The SMAC system is interfaced directly to a small computer, and suitable peripherals produce a manageable form of result tabulation for subsequent reporting, as well as provide quality-control information to the SMAC operators in real time. The design is such as to facilitate the performance analysis of the SMAC system during its initiation period and during normal service operation.

scholarly journals Segmentation and Classification of Heart Angiographic Images Using Machine Learning Techniques

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Abdullah ◽  
Muhammad Hameed Siddiqi ◽  
Yousef Salamah Alhwaiti ◽  
Ibrahim Alrashdi ◽  
Amjad Ali ◽  
...  
Keyword(s):  
Blood Vessels ◽  
Human Heart ◽  
Automatic Segmentation ◽  
Ensemble Classification ◽  
Machine Learning Techniques ◽  
Computer Assisted ◽  
Time Saving ◽  
Significant Information ◽  
Heart Blood

Heart angiography is a test in which the concerned medical specialist identifies the abnormality in heart vessels. This type of diagnosis takes a lot of time by the concerned physician. In our proposed method, we segmented the interested regions of heart vessels and then classified. Segmentation and classification of heart angiography provides significant information for the physician as well as patient. Contradictorily, in the mention domain of heart angiography, the charge is prone to error, phase overwhelming, and thought-provoking task for the physician (heart specialist). An automatic segmentation and classification of heart blood vessels descriptions can improve the truthfulness and speed up the finding of heart illnesses. In this work, we recommend a computer-assisted conclusion arrangement for the localization of human heart blood vessels within heart angiographic imageries by using multiclass ensemble classification mechanism. In the proposed work, the heart blood vessels will be first segmented, and the various features according to accuracy have been extracted. Low-level features such as texture, statistical, and geometrical features were extracted in human heart blood vessels. At last, in the proposed framework, heart blood vessels have been categorized in their four respective classes including normal, block, narrow, and blood flow-reduced vessels. The proposed approach has achieved best result which provides very useful, easy, accurate, and time-saving environment to cardiologists for the diagnosis of heart-related diseases.

SEGMENTATION OF RETINAL BLOOD VESSELS BY TOP-HAT MULTI-SCALE DETECTION FOR OPTIC DISC REMOVAL

2015 ◽  
Vol 77 (6) ◽  
Author(s):  
Ain Nazari ◽  
Mohd Marzuki Mustafa ◽  
Mohd Asyraf Zulkifley
Keyword(s):  
Blood Vessels ◽  
Optic Disc ◽  
System Development ◽  
Computer Assisted ◽  
Fundus Image ◽  
Multi Scale ◽  
Analysis Process ◽  
Online Databases ◽  
Retinal Blood Vessels ◽  
Scale Detection

Nowadays, an automatic retinal vessels segmentation is important component in computer assisted system to detect numerous eye abnormalities. There are various sizes of the retinal blood vessels captured from fundus image modality, which can be detected by using multi-scale approach. However, the main limitation of the current multi-scale approaches is the inability to remove the optic disc from the detected blood vessels. In this paper, a hybrid of multi-scale detection with pre-processing approach is proposed so that clearer vessel segmentation can be obtained. The proposed method embedded with a pre-processing phase that includes four series of processes that include Top-hat transformation as the main part. This technique will reduce the influence of the structure of optic disc and enhance the contrast of the vessel from the background. Then, the result from the pre-processing phase will be fed to the multi-scale detection to perform the segmentation. The proposed method is evaluated on two publicly available online databases: HRF and DRIVE. On HRF database, the best obtained precision and specificity values are 0.9689 and 0.9989, respectively. Meanwhile, for DRIVE database, the system performs well in all performance measures: precision, specificity, accuracy and error with the best values of 0.7541, 0.9739, 0.9510 and 0.0490, respectively. In conclusion, the proposed method is able to filter the unwanted optical disc from the fundus image effectively. Thus, retinal blood vessel image can be used for further analysis process and beneficial for pre-screening system development.  

The Use of Computer Assisted Data Processing and Display Methods in Brain Scintigraphy

1977 ◽  
Vol 63 (2) ◽  
pp. 92-96
Author(s):  
A. S. Houston
Keyword(s):  
Data Processing ◽  
Clinical Significance ◽  
Computer Assisted ◽  
Main Theme ◽  
Use Of Data

AbstractMuch has been published recently on the use of data processing and display methods in radioisotope scintigraphy. The main theme has been a move towards proper evaluation of these techniques. Using a procedure which combines clinical significance with physical relevance, the author has recently compared many different methods used for static brain studies. This paper describes those which performed best.

scholarly journals Computerized Reconstruction of Pulpal Blood Vessels Examined under Confocal Microscope

2015 ◽  
Vol 19 (1) ◽  
pp. 43-49
Author(s):  
Anna Digka ◽  
Kleoniki Lyroudia ◽  
Lucie Kubinova ◽  
Georgia Karayannopoulou ◽  
Ioannis Marras ◽  
...  
Keyword(s):  
Blood Vessels ◽  
Cross Sections ◽  
Automatic Segmentation ◽  
Spatial Relationship ◽  
Confocal Microscope ◽  
Confocal Laser ◽  
Computer Assisted ◽  
3 Dimensional ◽  
Dimensional Reconstruction ◽  
And Function

SUMMARYThe purpose of this study was the evaluation of 3 different histological methods for studying pulpal blood vessels in combination with 2 types of confocal microscope and computer assisted 3-dimensional reconstruction. 10 human, healthy, free of restorations or caries teeth that were extracted for orthodontic reasons were used. From these teeth, the pulp tissues of 5 were removed, fixed in formalin solution, dehydrated and embedded in paraffin. Serial cross sections 5μm thick were taken from 3 of the above mentioned pulpal tissues and stained with CD34 according to the immunohistochemical ABC technique, while the rest 2 were stained with CD34 and Cy5 by means of immunofluorescence after serial cross sectioning of 10μm. 5 of the 10 teeth were fixed, decalcified, serial cross sectioned (30μm thickness) and stained with eosin. The physical sections were examined under 2 types of confocal laser microscope. Serial images were taken for each section, alignment of the images was followed and finally 3-dimensional reconstructions of the pulpal vessels were achieved.The combined use of immunofluorescence, confocal microscope and automatic segmentation proved to be a useful method for the detailed study of pulpal vasculature. The above method provides deep knowledge of the form and spatial relationship even of the smallest pulpal blood vessels with neighbouring structures like odontoblasts, which are essential for the fully understanding of their role and function within the dental pulp.

Semi-Automated Computer Analysis of Retinal Vessels in Premature Infants

2012 ◽  
Vol 241-244 ◽  
pp. 2962-2968
Author(s):  
Rashmi Turior ◽  
Pornthep Chutinantvaron ◽  
Bunyarit Uyyanonvara
Keyword(s):  
Blood Vessels ◽  
Computer Assisted ◽  
Fundus Images ◽  
Single Image ◽  
Quantitative Measurements ◽  
Comprehensive Information ◽  
Retinal Blood Vessels ◽  
Length Width ◽  
Almost All ◽  
Sensitivity Specificity

Almost all ocular and systemic diseases affect blood vessel attributes (tortuosity, length, width, and curvature). Quantitative measurements of these attributes could thus provide useful tool for diagnosing the severity of several diseases. However, it is still unclear how best to represent the attribute values of multiple vessels in a single image. Graphical user interface (GUI) is a promising step towards the development of a semi-automated computer assisted tool. The objective of this study is to develop a GUI for effective observation and robust retinal blood vessels analysis by ophthalmologists and to comprehend the distribution of vessels attributes. Blood vessels from 45 digital fundus images of infant retina are extracted, its centerline is delineated and tortuosity is analyzed from different putative and proposed techniques to provide reliable and comprehensive information for the retinal vasculature. K means clustering technique is used for classification analysis of different tortuosity metrics and its performance is evaluated based on sensitivity, specificity, and accuracy. The results are validated by comparing with expert ophthalmologists’ ground truths. Among the various proposed tortuosity metrics, one of our tortuosity indexes attains the highest classification accuracy of 91.42% with sensitivity and specificity of 86.36% and 97.82% respectively.

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