Artificial intelligence techniques in breast cancer diagnosis and prognosis / editors, Ashlesha Jain [and others].

Contributor(s):

Jain, Ashlesha

Material type: Text

TextSeries: Series in machine perception and artificial intelligence ; v. 39.Publication details: Singapore ; River Edge, NJ : World Scientific, ©2000.Description: 1 online resource (xvii, 330 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789812792488
9812792481

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: Artificial intelligence techniques in breast cancer diagnosis and prognosis.DDC classification:

616.99449 22

LOC classification:

RC280.B8 A78 2000eb

NLM classification:

2001 H-302
WP 870

Online resources:

EBSCOhost

Contents:

An introduction to breast cancer diagnosis, prognosis, and Artificial Intelligence / N. Harbeck [and others] -- Automatic image feature extraction for diagnosis and prognosis of breast cancer / M.J. Bottema, G.N. Lee, and S. Lu -- Decision support in breast cancer: recent advances in prognostic and predictive techniques / R. Kates [and others] -- MammoNet: a Baynesian network diagnosing breast cancer / L.M. Roberts -- Predicting prognosis and treatment response in breast cancer patients / M.G Daidone and D. Coradini -- Computer-aided breast cancer diagnosis / H.-P Chan, N. Petrick, and B. Sahiner -- Which decision support technologies are appropriate for the cytodiagnosis of breast cancer? / S.S Cross [and others] -- Xcyt: a system for remote cytological diagnosis and prognosis of breast cancer / W.N. Street.

Summary: "The main aim of this book is to present a sample of recent research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages -- such as adaptation, fault tolerance, learning and human-like behavior -- over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis. This book is the first of its kind on the topic of artificial intelligence in breast cancer. It presents the applications of artificial intelligence in breast cancer diagnosis and prognosis, and includes state-of-the-art concepts in the field. It contains contributions from Australia, Germany, Italy, UK and the USA."

Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
eBook	e-Library	EBSCO Computers		Available

Total holds: 0

Includes bibliographical references and index.

Print version record.

"The main aim of this book is to present a sample of recent research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages -- such as adaptation, fault tolerance, learning and human-like behavior -- over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis. This book is the first of its kind on the topic of artificial intelligence in breast cancer. It presents the applications of artificial intelligence in breast cancer diagnosis and prognosis, and includes state-of-the-art concepts in the field. It contains contributions from Australia, Germany, Italy, UK and the USA."

WorldCat record variable field(s) change: 650