Bookcover of DETECTION OF MICROCALCIFICATION IN MAMMOGRAMS USING AI & ML TECHNIQUES
Booktitle:

DETECTION OF MICROCALCIFICATION IN MAMMOGRAMS USING AI & ML TECHNIQUES

(A new modern Approach)

LAP LAMBERT Academic Publishing (2021-03-31 )

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ISBN-13:

978-620-3-47182-3

ISBN-10:
6203471828
EAN:
9786203471823
Book language:
English
Blurb/Shorttext:
One of the new modern and most efficient methods for breast cancer early detection is mammography. A new method for the detection and classification of microcalcifications is presented. It can be done in four stages: first, preprocessing stage deals with noise removal, and normalized the image. The second stage, Fuzzy c-Means clustering (FCM) is used for segmentation and pectoral muscle extraction using area calculation and finally microcalcifications detection. The third stage consists of two-dimensional discrete wavelet transforms are extracted from the detection of microcalcifications. And then, nine statistical features are calculated from the LL band of the wavelet transform. Finally, the extracted features are fed as input to the Artificial Neural Network and are classified into normal or abnormal (benign or malignant) images. The given classification approach is applied to a database of 322 dense mammographic images, originating from the MIAS database. The results are analyzed using MATLAB.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Subash Chandra Bose Jaganathan
Number of pages:
168
Published on:
2021-03-31
Stock:
Available
Category:
Technology
Price:
71.90 €
Keywords:
mammogram, Medical Image Processing, breast cancer, microcalcification, segmentation, classification, artificial neural network, Discrete wavelet transformation

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