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EBSCO_ocn827945004 |
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m o d |
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130218s2000 si a ob 001 0 eng d |
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|a 854974242
|a 1086440895
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|a 9789812792488
|q (electronic bk.)
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|z 9789810243746
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|a RC280.B8
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|a 2001 H-302
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|a WP 870
|b A791 2000
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|a 616.99449
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|a UAMI
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245 |
0 |
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|a Artificial intelligence techniques in breast cancer diagnosis and prognosis /
|c editors, Ashlesha Jain [and others].
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260 |
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|a Singapore ;
|a River Edge, NJ :
|b World Scientific,
|c ©2000.
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300 |
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|a 1 online resource (xvii, 330 pages) :
|b illustrations
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336 |
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|a text
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|2 rdacontent
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|a computer
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|a online resource
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490 |
1 |
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|a Series in machine perception and artificial intelligence ;
|v v. 39
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504 |
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|a Includes bibliographical references and index.
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505 |
0 |
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|a 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.
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|a Print version record.
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|a "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."
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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0 |
|a Breast
|x Cancer
|x Diagnosis.
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650 |
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0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Artificial intelligence
|x Medical applications.
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650 |
1 |
2 |
|a Breast Neoplasms
|x diagnosis
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650 |
1 |
2 |
|a Breast Neoplasms
|x therapy
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650 |
2 |
2 |
|a Artificial Intelligence
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650 |
2 |
2 |
|a Diagnosis, Computer-Assisted
|x methods
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650 |
2 |
2 |
|a Therapy, Computer-Assisted
|x methods
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650 |
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6 |
|a Sein
|x Cancer
|x Diagnostic.
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650 |
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|a Intelligence artificielle en médecine.
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650 |
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6 |
|a Intelligence artificielle.
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650 |
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7 |
|a artificial intelligence.
|2 aat
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650 |
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|a HEALTH & FITNESS
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7 |
|a MEDICAL
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650 |
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7 |
|a Artificial intelligence
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|0 (OCoLC)fst00817267
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650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
|
650 |
|
7 |
|a Breast
|x Cancer
|x Diagnosis.
|2 fast
|0 (OCoLC)fst00838268
|
700 |
1 |
|
|a Jain, Ashlesha.
|
776 |
0 |
8 |
|i Print version:
|t Artificial intelligence techniques in breast cancer diagnosis and prognosis.
|d Singapore ; River Edge, NJ : World Scientific, ©2000
|z 9789810243746
|w (OCoLC)46405680
|
830 |
|
0 |
|a Series in machine perception and artificial intelligence ;
|v v. 39.
|
856 |
4 |
0 |
|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=514170
|z Texto completo
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|a Internet Archive
|b INAR
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|a Askews and Holts Library Services
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