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Performance of SOA for Information Retrieval System Using Web Services

ISSN 2223-4985
Journal from gdlhub / 2017-08-14 11:52:31
Oleh : Samir Kumar Bandyopadhyay , International Journal of Information and Communication Technology Research
Dibuat : 2012-06-23, dengan 1 file

Keyword : Medical image, Edge detection, Segmentation, lung, infections, physiological measurements
Subjek : A Method for Lung Boundary Detection
Url : http://esjournals.org/journaloftechnology/archive/vol2no2/vol2no2_9.pdf
Sumber pengambilan dokumen : Internet

In computerized analysis of chest radiographs is the detection of the lung field boundaries. Once the boundaries of the lung fields are


identified, physiological measurements of the lung features are possible. The properties of the boundary are determined by edge


detection along with suitable filter algorithms. The aim of proposed work is to develop an experimental system which segmented and


analysis of the lung boundaries in chest X-ray images. This paper presents boundary detection of lung using algorithms and results


obtained quite satisfactory. This is tried to make a sharp distinction between the lung region and the exterior of the lung.

Deskripsi Alternatif :

In computerized analysis of chest radiographs is the detection of the lung field boundaries. Once the boundaries of the lung fields are


identified, physiological measurements of the lung features are possible. The properties of the boundary are determined by edge


detection along with suitable filter algorithms. The aim of proposed work is to develop an experimental system which segmented and


analysis of the lung boundaries in chest X-ray images. This paper presents boundary detection of lung using algorithms and results


obtained quite satisfactory. This is tried to make a sharp distinction between the lung region and the exterior of the lung.

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