소장자료
LDR | 01424nam a2200000 a | ||
001 | 0100820293▲ | ||
005 | 20240925160010▲ | ||
007 | ta▲ | ||
008 | 240806s2018 sz a b 000 0 eng d▲ | ||
020 | ▼a9783319688428▼q(hbk.)▲ | ||
040 | ▼a221016▼c221016▲ | ||
082 | 0 | 4 | ▼a616.07540285▼223▲ |
090 | ▼a616.07540285▼bA791s▲ | ||
245 | 0 | 0 | ▼aArtificial intelligence in decision support systems for diagnosis in medical imaging /▼cedited by Kenji Suzuki, Chen Yisong.▲ |
260 | ▼aCham :▼bSpringer,▼c2018.▲ | ||
300 | ▼axxi, 387 p. :▼bill. (col.) ;▼c24 cm.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼aunmediated▼bn▼2rdamedia▲ | ||
338 | ▼avolume▼bnc▼2rdacarrier▲ | ||
490 | 0 | ▼aIntelligent systems reference library,▼x1868-4394 ;▼v140▲ | |
504 | ▼aIncludes bibliographical references.▲ | ||
520 | ▼aThis book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients? medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an?information overload? for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.▲ | ||
650 | 0 | ▼aDiagnostic imaging▼xData processing.▲ | |
650 | 0 | ▼aArtificial intelligence▼xMedical applications.▲ | |
650 | 0 | ▼aDecision making▼xMathematical models.▲ | |
650 | 0 | ▼aArtificial intelligence.▲ | |
700 | 1 | ▼aSuzuki, Kenji,▼d1968▲ | |
700 | 1 | ▼aChen, Yisong.▲ |
Artificial intelligence in decision support systems for diagnosis in medical imaging
자료유형
국외단행본
서명/책임사항
Artificial intelligence in decision support systems for diagnosis in medical imaging / edited by Kenji Suzuki, Chen Yisong.
발행사항
Cham : Springer , 2018.
형태사항
xxi, 387 p. : ill. (col.) ; 24 cm.
총서사항
Intelligent systems reference library , 1868-4394 ; 140
서지주기
Includes bibliographical references.
요약주기
This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients? medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an?information overload? for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
주제
ISBN
9783319688428
청구기호
616.07540285 A791s
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