TY  - BOOK
AU  - Jain,Ashlesha
TI  - Artificial intelligence techniques in breast cancer diagnosis and prognosis
T2  - Series in machine perception and artificial intelligence
SN  - 9789812792488
AV  - RC280.B8 A78 2000eb
U1  - 616.99449 22
PY  - 2000///
CY  - Singapore, River Edge, NJ
PB  - World Scientific
KW  - Breast
KW  - Cancer
KW  - Diagnosis
KW  - Artificial intelligence
KW  - Medical applications
KW  - Breast Neoplasms
KW  - diagnosis
KW  - therapy
KW  - Artificial Intelligence
KW  - Diagnosis, Computer-Assisted
KW  - methods
KW  - Therapy, Computer-Assisted
KW  - Sein
KW  - Diagnostic
KW  - Intelligence artificielle en médecine
KW  - Intelligence artificielle
KW  - artificial intelligence
KW  - aat
KW  - HEALTH & FITNESS
KW  - Diseases
KW  - bisacsh
KW  - MEDICAL
KW  - Oncology
KW  - fast
KW  - Electronic books
N1  - Includes bibliographical references and index; 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
N2  - "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."
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=514170
ER  -