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{ "item_title" : "Breast Cancer Characterization Computer-Aided Diagnostic System for Breast MRI Mass Classification", "item_author" : [" Lina Arbash Meinel "], "item_description" : "Recently, death from breast cancer has dropped significantly in the United States due to early detection and effective treatment. DCE-MRI has emerged as a promising technique for detecting, diagnosing, and staging breast cancer. Computer-aided detection systems have proven to be useful for evaluating the large number of images produced. The next logical step is to implement computer-aided diagnostic systems. This book describes the development of a computer-aided diagnostic (CAD) research system for investigating breast MRI masses. It shows that computerized algorithms are reliable, have the potential to reduce inter and intra-observer variations, radiologist workload, and facilitate image interpretation. With an ever growing number of images and expanding clinical applications, CAD systems might play an integral role in breast imaging.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/63/908/072/3639080726_b.jpg", "price_data" : { "retail_price" : "52.92", "online_price" : "52.92", "our_price" : "52.92", "club_price" : "52.92", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Breast Cancer Characterization Computer-Aided Diagnostic System for Breast MRI Mass Classification|Lina Arbash Meinel

Breast Cancer Characterization Computer-Aided Diagnostic System for Breast MRI Mass Classification

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Overview

Recently, death from breast cancer has dropped significantly in the United States due to early detection and effective treatment. DCE-MRI has emerged as a promising technique for detecting, diagnosing, and staging breast cancer. Computer-aided detection systems have proven to be useful for evaluating the large number of images produced. The next logical step is to implement computer-aided diagnostic systems. This book describes the development of a computer-aided diagnostic (CAD) research system for investigating breast MRI masses. It shows that computerized algorithms are reliable, have the potential to reduce inter and intra-observer variations, radiologist workload, and facilitate image interpretation. With an ever growing number of images and expanding clinical applications, CAD systems might play an integral role in breast imaging.

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Details

  • ISBN-13: 9783639080728
  • ISBN-10: 3639080726
  • Publisher: VDM Verlag
  • Publish Date: October 2008
  • Dimensions: 9 x 6 x 0.25 inches
  • Shipping Weight: 0.38 pounds
  • Page Count: 120

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