Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $97.79
Usually ships in 1-2 business days
(Save 40%)
Other sellers (Hardcover)
  • All (8) from $97.79   
  • New (5) from $97.79   
  • Used (3) from $161.99   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$97.79
Seller since 2014

Feedback rating:

(0)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New
Hardcover New 0849396921 Brand New US Edition Book in Perfect Condition. Fast Shipping with tracking number.

Ships from: Houston, TX

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
$142.03
Seller since 2007

Feedback rating:

(23450)

Condition: New
BRAND NEW

Ships from: Avenel, NJ

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
$149.97
Seller since 2008

Feedback rating:

(4488)

Condition: New
New Book. Shipped from UK within 4 to 14 business days. Established seller since 2000.

Ships from: Horcott Rd, Fairford, United Kingdom

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
$150.51
Seller since 2009

Feedback rating:

(10394)

Condition: New
New Book. Shipped from US within 4 to 14 business days. Established seller since 2000

Ships from: Secaucus, NJ

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
$168.37
Seller since 2008

Feedback rating:

(17653)

Condition: New
Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.

Ships from: Westminster, MD

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing All
Close
Sort by

Overview

The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research and case studies can be found scattered throughout a multitude of journals. Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management brings together the work of top researchers - primarily clinicians - who present the results of their state-of-the-art work with ANNs as applied to nearly all major areas of cancer for diagnosis, prognosis, and management of the disease.

The book introduces the theory of neural networks and the method of their application in oncology. It is not an exercise in ANN research, but the presentation of a new technique for diagnosing and determining the treatment of cancers. The authors have included almost all cancers for which there exist ANN applications. When the data available is ill-defined and the development of an algorithmic solution difficult, neural networks provide a non-linear approach which helps sift through the maze of information and arrive at a reasonable solution.

Highly interdisciplinary in nature, this book provides comprehensive coverage of the most important materials relating to the applications of ANNs in the cancer field. With contributions from prominent research centers worldwide, it serves as an introduction to how neural networks can be used for accurate prediction or diagnosis and shows why neural networks are more accurate. Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management gives you an understanding of this new tool, its applications, and when it should be used.

Read More Show Less

Editorial Reviews

Booknews
Brings together recent work on the use of artificial neural networks (ANNs) as applied to diagnosis, prognosis, and management of cancer. Provides background on ANN theory and method of application in the field of cancer, and shows how neural networks can be more accurate than statistical techniques. Specific topics include analysis of molecular prognostic factors in breast cancer by ANNs, the use of a genetic algorithm neural network for prognosis in surgically treated nonsmall cell lung cancer, the use of machine learning in screening for oral cancer, ANNs in urologic oncology, and a probabilistic neural network framework for the detection of malignant melanoma. Naguib teaches biomedical computing at Coventry University, UK. Sherbet teaches at the Institute for Molecular Medicine. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Read More Show Less

Product Details

  • ISBN-13: 9780849396922
  • Publisher: CRC Press
  • Publication date: 6/22/2001
  • Series: Biomedical Engineering Series , #4
  • Edition number: 1
  • Pages: 216
  • Product dimensions: 7.20 (w) x 10.30 (h) x 0.71 (d)

Table of Contents

Introduction to Artificial Networks and Their Use in Cancer Diagnosis, Prognosis, and Patient Management, R.N.G. Naguib and G.V. Sherbet
Analysis of Molecular Prognostic Factors in Breast Cancer by Artificial Neural Networks, B. Angus, T.W.J. Lennard, R.N.G. Naguib, and G.V. Sherbet
Artificial Neural Approach to Analyzing the Prognostic Significance of DNA Ploidy and Cell Cycle Distribution of Breast Cancer Aspirate Cells, R.N.G. Naguib and G.V. Sherbet
Neural Networks for the Estimation of Prognosis in Lung Cancer, H. Esteva, M. Bellotti, and A.M. Marchevsky
The Use of a Genetic Algorithm Neural Network (GANN) for Prognosis in Surgically Treated Non-Small Cell Lung Cancer (NSCLC), M.F. Jefferson, N. Pendelton, S.B. Lucas, and M.A. Horan
The Use of Machine Learning in Screening for Oral Cancer, P.M. Speight and P. Hammond
Outcome Prediction of Oesophago-Gastric Cancer Using Neural Analysis of Pre- and Post-Operative Parameters, J. Wayman and S.M. Griffin
Artificial Neural Networks in Urologic Oncology, T.H. Douglas and J.W. Moul
Neural Networks in Urologic Oncology, C. Niedernerger and D. Ridout
Comparison of a Neural Network with High Sensitivity and Specificity to Free/Total Serum PSA for Diagnosing Prostate Cancer in Men with PSA less than 4.0 ng/ml, T.A. Stamey, S.D. Barnhill, Z. Zhang, C.M. Yemoto, H. Zhang, and K. Rama Madyastha
Artificial Neural Networks and Prognosis in Prostate Cancer, F.C. Hamdy
Comparison Between Urologists and Artificial Neural Networks in Bladder Cancer Outcome Prediction, K.N. Qureshi and J.K. Mellon
A Probabilistic Neural Network Framework for Detection of Malignant Melanoma, M. Hintz-Madsen, L.K. Hansen, J. Larsen, and K.T. Drzewiecki

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)