Medical image recognition, segmentation and parsing: machine learning and multiple object approaches
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of-the-art approaches based on machine learning, for recognizing or detecting, parsing or...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier
[2016]
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| Schriftenreihe: | Elsevier and MICCAI Society book series
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| Schlagworte: | |
| Online-Zugang: | FLA01 URL des Erstveröffentlichers |
| Zusammenfassung: | This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of-the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. You will learn how to: research challenges and problems in medical image recognition, segmentation and parsing of multiple objects; methods and theories for medical image recognition, segmentation and parsing of multiple objects; efficient and effective machine learning solutions based on big datasets; selected applications of medical image parsing using proven algorithms. -- |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource illustrations |
| ISBN: | 9780128026762 0128026766 |
Internformat
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| 245 | 1 | 0 | |a Medical image recognition, segmentation and parsing |b machine learning and multiple object approaches |c edited by S. Kevin Zhou |
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| 520 | |a This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of-the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. You will learn how to: research challenges and problems in medical image recognition, segmentation and parsing of multiple objects; methods and theories for medical image recognition, segmentation and parsing of multiple objects; efficient and effective machine learning solutions based on big datasets; selected applications of medical image parsing using proven algorithms. -- | ||
| 650 | 7 | |a HEALTH & FITNESS / Diseases / General |2 bisacsh | |
| 650 | 7 | |a MEDICAL / Clinical Medicine |2 bisacsh | |
| 650 | 7 | |a MEDICAL / Diseases |2 bisacsh | |
| 650 | 7 | |a MEDICAL / Evidence-Based Medicine |2 bisacsh | |
| 650 | 7 | |a MEDICAL / Internal Medicine |2 bisacsh | |
| 650 | 7 | |a Image reconstruction |2 fast | |
| 650 | 7 | |a Imaging systems in medicine |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 4 | |a Imaging systems in medicine | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Image reconstruction | |
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Datensatz im Suchindex
| _version_ | 1804179232708886528 |
|---|---|
| any_adam_object | |
| author2 | Zhou, S. Kevin |
| author2_role | edt |
| author2_variant | s k z sk skz |
| author_facet | Zhou, S. Kevin |
| building | Verbundindex |
| bvnumber | BV045381673 |
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| dewey-full | 616.0754 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
| dewey-raw | 616.0754 |
| dewey-search | 616.0754 |
| dewey-sort | 3616.0754 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | DE-604.BV045381673 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:16:36Z |
| institution | BVB |
| isbn | 9780128026762 0128026766 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030768006 |
| oclc_num | 932289263 |
| open_access_boolean | |
| physical | 1 online resource illustrations |
| psigel | ZDB-33-ESD ZDB-33-EBS ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Elsevier |
| record_format | marc |
| series2 | Elsevier and MICCAI Society book series |
| spelling | Medical image recognition, segmentation and parsing machine learning and multiple object approaches edited by S. Kevin Zhou Amsterdam Elsevier [2016] © 2016 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Elsevier and MICCAI Society book series Includes bibliographical references and index This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of-the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. You will learn how to: research challenges and problems in medical image recognition, segmentation and parsing of multiple objects; methods and theories for medical image recognition, segmentation and parsing of multiple objects; efficient and effective machine learning solutions based on big datasets; selected applications of medical image parsing using proven algorithms. -- HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Clinical Medicine bisacsh MEDICAL / Diseases bisacsh MEDICAL / Evidence-Based Medicine bisacsh MEDICAL / Internal Medicine bisacsh Image reconstruction fast Imaging systems in medicine fast Machine learning fast Imaging systems in medicine Machine learning Image reconstruction Zhou, S. Kevin edt Erscheint auch als Druck-Ausgabe 9780128025819 Erscheint auch als Druck-Ausgabe 0128025816 http://www.sciencedirect.com/science/book/9780128025819 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Medical image recognition, segmentation and parsing machine learning and multiple object approaches HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Clinical Medicine bisacsh MEDICAL / Diseases bisacsh MEDICAL / Evidence-Based Medicine bisacsh MEDICAL / Internal Medicine bisacsh Image reconstruction fast Imaging systems in medicine fast Machine learning fast Imaging systems in medicine Machine learning Image reconstruction |
| title | Medical image recognition, segmentation and parsing machine learning and multiple object approaches |
| title_auth | Medical image recognition, segmentation and parsing machine learning and multiple object approaches |
| title_exact_search | Medical image recognition, segmentation and parsing machine learning and multiple object approaches |
| title_full | Medical image recognition, segmentation and parsing machine learning and multiple object approaches edited by S. Kevin Zhou |
| title_fullStr | Medical image recognition, segmentation and parsing machine learning and multiple object approaches edited by S. Kevin Zhou |
| title_full_unstemmed | Medical image recognition, segmentation and parsing machine learning and multiple object approaches edited by S. Kevin Zhou |
| title_short | Medical image recognition, segmentation and parsing |
| title_sort | medical image recognition segmentation and parsing machine learning and multiple object approaches |
| title_sub | machine learning and multiple object approaches |
| topic | HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Clinical Medicine bisacsh MEDICAL / Diseases bisacsh MEDICAL / Evidence-Based Medicine bisacsh MEDICAL / Internal Medicine bisacsh Image reconstruction fast Imaging systems in medicine fast Machine learning fast Imaging systems in medicine Machine learning Image reconstruction |
| topic_facet | HEALTH & FITNESS / Diseases / General MEDICAL / Clinical Medicine MEDICAL / Diseases MEDICAL / Evidence-Based Medicine MEDICAL / Internal Medicine Image reconstruction Imaging systems in medicine Machine learning |
| url | http://www.sciencedirect.com/science/book/9780128025819 |
| work_keys_str_mv | AT zhouskevin medicalimagerecognitionsegmentationandparsingmachinelearningandmultipleobjectapproaches |