Performance Evaluation of an Automated System for Registration and Postprocessing of CT Scans

Medical diagnosis has been gaining importance in everyday life. The diseases and their symptoms are highly varying and there is always a need for a continuous update of knowledge needed for the doctors. The diseases fall into different categories and a small variation of symptoms may leave to different categories of diseases. This is further supplemented by the medical analysts for a continuous treatment process. The treatment generally starts with a diagnosis and further goes through a set of procedures including X-ray, CT-scans, ultrasound imaging for qualitative analysis and diagnosis by doctors. A small level of error in disease identification introduces overhead in diagnosis and difficult in treatment. In such cases, an automated system that could retrieve medical images based on user's interest. This chapter deals with various techniques, methodologies that correspond to the classification problem in data analysis process and its methodological impacts to big data.

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Image Processing Including Medical Liver Imaging

Computer Vision ◽

10.4018/978-1-5225-5204-8.ch103 ◽

2018 ◽

pp. 2350-2362

Author(s):

Suganya Ramamoorthy ◽

Rajaram Sivasubramaniam

Keyword(s):

Image Processing ◽

Medical Diagnosis ◽

Small Variation ◽

Classification Problem ◽

Continuous Treatment ◽

Automated System ◽

Ct Scans ◽

Liver Imaging ◽

Analysis Process ◽

Disease Identification

Medical diagnosis has been gaining importance in everyday life. The diseases and their symptoms are highly varying and there is always a need for a continuous update of knowledge needed for the doctors. The diseases fall into different categories and a small variation of symptoms may leave to different categories of diseases. This is further supplemented by the medical analysts for a continuous treatment process. The treatment generally starts with a diagnosis and further goes through a set of procedures including X-ray, CT-scans, ultrasound imaging for qualitative analysis and diagnosis by doctors. A small level of error in disease identification introduces overhead in diagnosis and difficult in treatment. In such cases, an automated system that could retrieve medical images based on user's interest. This chapter deals with various techniques, methodologies that correspond to the classification problem in data analysis process and its methodological impacts to big data.

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Performance Evaluation of the Automated System for Cleaning, Peeling and Washing Cassava Tubers

International Journal of Advances in Agricultural & Environmental Engineering ◽

10.15242/ijaaee.u0716202 ◽

2016 ◽

Vol 3 (2) ◽

Keyword(s):

Performance Evaluation ◽

Automated System

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The Aviation Operational Environment

Technology Engineering and Management in Aviation ◽

10.4018/978-1-60960-887-3.ch015 ◽

2011 ◽

pp. 241-282 ◽

Cited By ~ 5

Author(s):

Ronald John Lofaro ◽

Kevin M. Smith

Keyword(s):

Decision Making ◽

Performance Evaluation ◽

Automated System ◽

Use Value ◽

Flight Crew ◽

Operational Environment ◽

Decision Performance ◽

Flight Simulators ◽

And Performance

This chapter will focus on the role of pilot/flightcrew training and performance evaluation in the identification and management of risk, especially while aloft and in changing conditions. The chapter will integrate different- but we posit interrelated, topic areas: First, a decision-making paradigm for flight crew’s use in the operational environment. Second, training and performance evaluation in flight simulators (FS), as well as the design and development of FS scenarios to test decision performance. Third, Relevant Federal Aviation regulations (FAR’s) and approved programs in current pilot/flightcrew training. Fourth, accident investigations; the role and use-value of accident investigation data in flying safety. Finally, the authors will present recommendations for the next steps in the development and use of new and emerging technologies for maximum pilot/flight crew decision performance and safety. This will be done via a collaborative ground-air, automated system and is what we propose to achieve our goal, increasing safety of flight.

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Value analysis system development for water treatment plant maintenance method selection

Canadian Journal of Civil Engineering ◽

10.1139/l10-050 ◽

2010 ◽

Vol 37 (9) ◽

pp. 1213-1223

Author(s):

Jong-Won Seo ◽

Pyung-Ki Jung ◽

Min-Jae Lee

Keyword(s):

Decision Making ◽

Performance Evaluation ◽

Water Treatment ◽

Treatment Plant ◽

Water Treatment Plant ◽

Automated System ◽

Value Analysis ◽

A Value ◽

Method Selection ◽

Analysis System

Even though the life span of a water treatment facility is relatively long, the decision-making process related to method selection for repair and reinforcement is generally influenced by an engineer's experience. These decisions should be made systematically after considering facility use, damage features, technical features, reconstruction costs, maintenance costs, and others. The purpose of this study is to provide a value analysis system for the effective selection of repairing and (or) reinforcing methods for water treatment plant concrete structures. Analysis of the concrete structure's damage type and maintenance records allowed the development of a value analysis system for more effective and systematic decision making. Performance evaluation criteria were established using a survey of field professionals as the decision basis. Weight for each performance criterion was determined by using the field personnel survey and the analytic hierarchy process (AHP) methodology. The rank rating standard for each performance evaluation criterion was established for each maintenance method type. Finally, an automated system was developed that can give guidance on repair and reinforcement method selection by applying proposed performance indices that are related to the maintenance method selection and the value analysis of the different methods.

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