IMPLEMENTING SIMULATION–BASED APPROACHES FOR HEALTHCARE WORKFLOW ANALYSIS THE CASE OF A DEPARTMENT OF LABORATORY MEDICINE IN SOUTH ITALY
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): ADRIANO TORRI , ALESSANDRO PEPINO , OSCAR TAMBURIS
Abstract: The Discrete Event Simulation (DES) approach has become a popular technique for problem solving in healthcare, as it provides a very realistic picture of the actual system. A simulation–based operational paradigm by means of the SIMUL8 software suite was implemented in the Department of Laboratory Medicine (DLM) of the "San Paolo” Hospital in Naples (Italy), as support of the Business Process Management (BPM) methodology, to analyse and improve the performances the current working performances
- Publication Date: 27-May-2015
- DOI: 10.15224/978-1-63248-061-3-11
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MORPHLOGICAL ASF AND K-MEANS CLUSTERING SEGMENTATION FOR TUMOR DETECTION
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): RADHAKRISHNAN PALANIKUMAR
Abstract: Image segmentation is important feature detection in digital image processing. Identify the significant tumor presence in brain is the most worthwhile in human beings health precaution. The medical imaging, consider the pixels of particular tumor tissues for segmentation. In this paper, we propose a method to segment the tumor using k-means clustering and morphological alternative sequential filters (ASF). There are many methods proposed but our method identifies the tumor in unique manner. Brain magnetic resonance imaging (MRI) is used to segment the tumor by the combination of k-means clustering and morphological alternative sequential filters. The results are significant for identifying tumor pixels with unique segmentation process.
- Publication Date: 27-May-2015
- DOI: 10.15224/978-1-63248-061-3-12
- Views: 0
- Downloads: 0