Name: Detection of Lung Carcinoma Using Fuzzy and ACO Techniques (en Inglés)
Price: 69.38 USD
Availability: InStock
Author: Saini, Sandeep Kumar
ISBN: 9786205511855

portada Detection of Lung Carcinoma Using Fuzzy and ACO Techniques (en Inglés)

Formato

Libro Físico

Autor

Sandeep Kumar Saini

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.5 cm

Peso

0.12 kg.

ISBN13

9786205511855

Categorías

Ingeniería electrónica

Detection of Lung Carcinoma Using Fuzzy and ACO Techniques (en Inglés)

Sandeep Kumar Saini (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Detection of Lung Carcinoma Using Fuzzy and ACO Techniques (en Inglés)"

Lung Carcinoma or cancer - the most dangerous disease in the world is caused by the multiplication of cells which eventually grows into tumors. Lung carcinoma is one of the most dangerous cancer types in the world. These diseases can spread in the body by uncontrolled cell growth in the tissues of the lungs. Early detection of cancer can save the life and survivability of patients who are affected by lung carcinoma. In the presented work, lung carcinoma has been detected by using Fuzzy and ACO techniques. Lung carcinoma is detected on the basis of features of the Dicom image of the lungs. In this system, we use a histogram equalizer at the preprocessing unit. Then Binarization approach and Grey Level Co-occurrence Matrix approach are used for features extraction of the Dicom image. We create a database of features and design the rules set of fuzzy in the training part. At testing, part Dicom images of lungs are uploaded. The same features are extracted of the image and then compare with the features of the database. In the classification stage, a combination of two classification methods namely FUZZY and ACO are used.