Artículos relacionados a ANN Based Lung Cancer Classification using Chest Radiographs

ANN Based Lung Cancer Classification using Chest Radiographs - Tapa blanda

Patil, Shrinivas

 
9783659344572: ANN Based Lung Cancer Classification using Chest Radiographs
Tapa blanda
ISBN 10: 3659344575 ISBN 13: 9783659344572
Editorial: LAP LAMBERT Academic Publishing, 2013

Sinopsis

Most of the lung lesions may not be detected due to the fact that they may be camouflaged by underlying anatomical structures, or the low quality of the images, or the subjective and variable decision criteria used by the radiologist. Therefore the most important and difficult task, the radiologist has to carry out is the detection and diagnosis of cancerous lung nodules from chest radiographs. These are problems that cannot be corrected with current methods of training and high levels of clinical skill and experience. The present research work describes the computerized technique to identify the lung nodules by extracting various discriminating geometrical and textural features like area, perimeter, irregularity index, standard deviation, skewness, third moment, entropy etc. using image processing and analyzing algorithms. Then these features are applied as an input to the feed forward neural network for the classification of lung cancer. Thus the developed algorithms aid the physician to detect the cancer in a short time with more accuracy.

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Reseña del editor

Most of the lung lesions may not be detected due to the fact that they may be camouflaged by underlying anatomical structures, or the low quality of the images, or the subjective and variable decision criteria used by the radiologist. Therefore the most important and difficult task, the radiologist has to carry out is the detection and diagnosis of cancerous lung nodules from chest radiographs. These are problems that cannot be corrected with current methods of training and high levels of clinical skill and experience. The present research work describes the computerized technique to identify the lung nodules by extracting various discriminating geometrical and textural features like area, perimeter, irregularity index, standard deviation, skewness, third moment, entropy etc. using image processing and analyzing algorithms. Then these features are applied as an input to the feed forward neural network for the classification of lung cancer. Thus the developed algorithms aid the physician to detect the cancer in a short time with more accuracy.

Biografía del autor

Author has obtained his B.E.in Electronics Engineering in 1988 from Shivaji University,Kolhapur, India and M.Tech in Bio-Medical Engg. from I.I.T, Bombay during 1997. Presently he is working with Textile & Engg. Institute, Ichalkaranji, Maharashtra state. Received PhD in Electronics Engg. during May 2011. Total publications & presentations are 35.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2013
Idioma
Inglés
ISBN 10 
3659344575
ISBN 13 
9783659344572
Encuadernación
Tapa blanda
Número de páginas
280
Contacto del fabricante
no disponible
Persona responsable
no disponible