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Medical imaging artificial intelligence, image recognition, and machine learning techniques
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Medical imaging : artificial intelligence, image recognition, and machine learning techniques/ [edited by] KC Santosh, Sameer Antani, DS Guru, Nilanjan Dey. |
| 개인저자 | Santosh, K. C.,editor, |
| 형태사항 | 1 online resource. |
| 기타형태 저록 | Print version: Medical imaging. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2020 9780367139612 |
| ISBN | 9780429029417 0429029411 9780429642494 0429642490 9780429636158 0429636156 9780429639326 0429639325 |
| 서지주기 | Includes bibliographical references and index. |
| 요약 | The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging. |
| 일반주제명 | Diagnostic imaging. COMPUTERS / Machine Theory TECHNOLOGY / Electricity TECHNOLOGY / Imaging Systems Diagnostic imaging. |
| 언어 | 영어 |
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