Feature Selection and Segmentation for Posterior fossa tumors

Feature Selection and Segmentation for Posterior fossa tumors


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
Delivery in :  10-12 Business Days

₹ 4,396

Availability: Out of stock


Delivery :

5% Cashback on all Orders paid using MobiKwik Wallet T&C

Free Krispy Kreme Voucher on all Orders paid using UltraCash Wallet T&C
Product Out of Stock Subscription

(Notify me when this product is back in stock)

  • Product Description

Over the last few years segmentation of brain tissues and abnormalities has been an important area in medical imaging. Several morphological imaging techniques have been used to solve this problem. Many fractal based features have been used to analyze brain tumors. These fractal based methods have improved segmentation of brain tumor. This book provides features selection techniques based on statistical model for selecting best features from subset of features and use it for segmentation. Two statistical methods based on Kullback Leibler Divergence and Bayesian models have been analyzed along with segmentation techniques such as SOM and EM. The analysis should help professionals who are working for computer analysis diagnosis of brain tumors.

Product Specifications
SKU :COC94800
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-08-14
0 Review(s)