Deep learning applications in medical imaging:
"This book explores the application deep learning in medical imaging"--
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2021]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book explores the application deep learning in medical imaging"-- |
| Beschreibung: | 19 PDFs (274 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799850724 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00244667 | ||
| 003 | IGIG | ||
| 005 | 20200807114957.0 | ||
| 006 | m eo d | ||
| 007 | cr bn |||m|||a | ||
| 008 | 200808s2021 pau fob 001 0 eng d | ||
| 010 | |z 2020008477 | ||
| 020 | |a 9781799850724 |q ebook | ||
| 020 | |z 1799850722 | ||
| 020 | |z 9781799850717 |q hardcover | ||
| 024 | 7 | |a 10.4018/978-1-7998-5071-7 |2 doi | |
| 035 | |a (CaBNVSL)slc00000690 | ||
| 035 | |a (OCoLC)1182904222 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a RC78.7.D53 |b D44 2021e | |
| 060 | 1 | 0 | |a WN 180 |b .D44 2021e |
| 082 | 7 | |a 616.07/54 |2 23 | |
| 245 | 0 | 0 | |a Deep learning applications in medical imaging |c Sanjay Saxena and Sudip Paul, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2021] | |
| 300 | |a 19 PDFs (274 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Conventional and non-conventional aNNs in medical diagnostics: a tutorial survey of architectures, algorithms, and application -- Chapter 2. Deep learning for medical image segmentation -- Chapter 3. Relevance of machine learning to cardiovascular imaging -- Chapter 4. A convblock for convolutional neural networks -- Chapter 5. Machine learning for prediction of lung cancer -- Chapter 6. A survey on prematurity detection of diabetic retinopathy based on fundus images using deep learning techniques -- Chapter 7. Deep learning applications in medical imaging: introduction to deep learning-based intelligent systems for medical applications -- Chapter 8. Deep learning applications in medical imaging: artificial intelligence, machine learning, and deep learning -- Chapter 9. Malaria parasites detection using deep neural network -- Chapter 10. Automatic lung tuberculosis detection model using thorax radiography image. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores the application deep learning in medical imaging"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/08/2020). | ||
| 650 | 0 | |a Diagnostic imaging |x Digital techniques. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Medical informatics. | |
| 650 | 1 | 2 | |a Deep Learning. |
| 650 | 1 | 2 | |a Diagnostic Imaging. |
| 650 | 2 | 2 | |a Image Processing, Computer-Assisted. |
| 650 | 2 | 2 | |a Medical Informatics Applications. |
| 700 | 1 | |a Paul, Sudip |d 1984- |e editor. | |
| 700 | 1 | |a Saxena, Sanjay |d 1986- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2020008477 | |
| 776 | 0 | 8 | |i Print version: |z 1799850714 |z 9781799850717 |w (DLC) 2020008477 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5071-7 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00244667 |
|---|---|
| _version_ | 1816797084511109120 |
| adam_text | |
| any_adam_object | |
| author2 | Paul, Sudip 1984- Saxena, Sanjay 1986- |
| author2_role | edt edt |
| author2_variant | s p sp s s ss |
| author_facet | Paul, Sudip 1984- Saxena, Sanjay 1986- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | R - Medicine |
| callnumber-label | RC78 |
| callnumber-raw | RC78.7.D53 D44 2021e |
| callnumber-search | RC78.7.D53 D44 2021e |
| callnumber-sort | RC 278.7 D53 D44 42021E |
| callnumber-subject | RC - Internal Medicine |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Conventional and non-conventional aNNs in medical diagnostics: a tutorial survey of architectures, algorithms, and application -- Chapter 2. Deep learning for medical image segmentation -- Chapter 3. Relevance of machine learning to cardiovascular imaging -- Chapter 4. A convblock for convolutional neural networks -- Chapter 5. Machine learning for prediction of lung cancer -- Chapter 6. A survey on prematurity detection of diabetic retinopathy based on fundus images using deep learning techniques -- Chapter 7. Deep learning applications in medical imaging: introduction to deep learning-based intelligent systems for medical applications -- Chapter 8. Deep learning applications in medical imaging: artificial intelligence, machine learning, and deep learning -- Chapter 9. Malaria parasites detection using deep neural network -- Chapter 10. Automatic lung tuberculosis detection model using thorax radiography image. |
| ctrlnum | (CaBNVSL)slc00000690 (OCoLC)1182904222 |
| dewey-full | 616.07/54 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
| dewey-raw | 616.07/54 |
| dewey-search | 616.07/54 |
| dewey-sort | 3616.07 254 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03021nam a2200541 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00244667</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20200807114957.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn |||m|||a</controlfield><controlfield tag="008">200808s2021 pau fob 001 0 eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="z"> 2020008477</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781799850724</subfield><subfield code="q">ebook</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">1799850722</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781799850717</subfield><subfield code="q">hardcover</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/978-1-7998-5071-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)slc00000690</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1182904222</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">CaBNVSL</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">CaBNVSL</subfield><subfield code="d">CaBNVSL</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">RC78.7.D53</subfield><subfield code="b">D44 2021e</subfield></datafield><datafield tag="060" ind1="1" ind2="0"><subfield code="a">WN 180</subfield><subfield code="b">.D44 2021e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">616.07/54</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Deep learning applications in medical imaging </subfield><subfield code="c">Sanjay Saxena and Sudip Paul, editors.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :</subfield><subfield code="b">IGI Global,</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">19 PDFs (274 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">electronic</subfield><subfield code="2">isbdmedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Chapter 1. Conventional and non-conventional aNNs in medical diagnostics: a tutorial survey of architectures, algorithms, and application -- Chapter 2. Deep learning for medical image segmentation -- Chapter 3. Relevance of machine learning to cardiovascular imaging -- Chapter 4. A convblock for convolutional neural networks -- Chapter 5. Machine learning for prediction of lung cancer -- Chapter 6. A survey on prematurity detection of diabetic retinopathy based on fundus images using deep learning techniques -- Chapter 7. Deep learning applications in medical imaging: introduction to deep learning-based intelligent systems for medical applications -- Chapter 8. Deep learning applications in medical imaging: artificial intelligence, machine learning, and deep learning -- Chapter 9. Malaria parasites detection using deep neural network -- Chapter 10. Automatic lung tuberculosis detection model using thorax radiography image.</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Restricted to subscribers or individual electronic text purchasers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"This book explores the application deep learning in medical imaging"--</subfield><subfield code="c">Provided by publisher.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on title screen (IGI Global, viewed 08/08/2020).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Diagnostic imaging</subfield><subfield code="x">Digital techniques.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Medical informatics.</subfield></datafield><datafield tag="650" ind1="1" ind2="2"><subfield code="a">Deep Learning.</subfield></datafield><datafield tag="650" ind1="1" ind2="2"><subfield code="a">Diagnostic Imaging.</subfield></datafield><datafield tag="650" ind1="2" ind2="2"><subfield code="a">Image Processing, Computer-Assisted.</subfield></datafield><datafield tag="650" ind1="2" ind2="2"><subfield code="a">Medical Informatics Applications.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Paul, Sudip</subfield><subfield code="d">1984-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Saxena, Sanjay</subfield><subfield code="d">1986-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">IGI Global,</subfield><subfield code="e">publisher.</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">(Original)</subfield><subfield code="w">(DLC)2020008477</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">1799850714</subfield><subfield code="z">9781799850717</subfield><subfield code="w">(DLC) 2020008477</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5071-7</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-98-IGB-00244667 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:57Z |
| institution | BVB |
| isbn | 9781799850724 |
| language | English |
| oclc_num | 1182904222 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 19 PDFs (274 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Deep learning applications in medical imaging Sanjay Saxena and Sudip Paul, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2021] 19 PDFs (274 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Conventional and non-conventional aNNs in medical diagnostics: a tutorial survey of architectures, algorithms, and application -- Chapter 2. Deep learning for medical image segmentation -- Chapter 3. Relevance of machine learning to cardiovascular imaging -- Chapter 4. A convblock for convolutional neural networks -- Chapter 5. Machine learning for prediction of lung cancer -- Chapter 6. A survey on prematurity detection of diabetic retinopathy based on fundus images using deep learning techniques -- Chapter 7. Deep learning applications in medical imaging: introduction to deep learning-based intelligent systems for medical applications -- Chapter 8. Deep learning applications in medical imaging: artificial intelligence, machine learning, and deep learning -- Chapter 9. Malaria parasites detection using deep neural network -- Chapter 10. Automatic lung tuberculosis detection model using thorax radiography image. Restricted to subscribers or individual electronic text purchasers. "This book explores the application deep learning in medical imaging"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/08/2020). Diagnostic imaging Digital techniques. Machine learning. Medical informatics. Deep Learning. Diagnostic Imaging. Image Processing, Computer-Assisted. Medical Informatics Applications. Paul, Sudip 1984- editor. Saxena, Sanjay 1986- editor. IGI Global, publisher. (Original) (DLC)2020008477 Print version: 1799850714 9781799850717 (DLC) 2020008477 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5071-7 Volltext |
| spellingShingle | Deep learning applications in medical imaging Chapter 1. Conventional and non-conventional aNNs in medical diagnostics: a tutorial survey of architectures, algorithms, and application -- Chapter 2. Deep learning for medical image segmentation -- Chapter 3. Relevance of machine learning to cardiovascular imaging -- Chapter 4. A convblock for convolutional neural networks -- Chapter 5. Machine learning for prediction of lung cancer -- Chapter 6. A survey on prematurity detection of diabetic retinopathy based on fundus images using deep learning techniques -- Chapter 7. Deep learning applications in medical imaging: introduction to deep learning-based intelligent systems for medical applications -- Chapter 8. Deep learning applications in medical imaging: artificial intelligence, machine learning, and deep learning -- Chapter 9. Malaria parasites detection using deep neural network -- Chapter 10. Automatic lung tuberculosis detection model using thorax radiography image. Diagnostic imaging Digital techniques. Machine learning. Medical informatics. Deep Learning. Diagnostic Imaging. Image Processing, Computer-Assisted. Medical Informatics Applications. |
| title | Deep learning applications in medical imaging |
| title_auth | Deep learning applications in medical imaging |
| title_exact_search | Deep learning applications in medical imaging |
| title_full | Deep learning applications in medical imaging Sanjay Saxena and Sudip Paul, editors. |
| title_fullStr | Deep learning applications in medical imaging Sanjay Saxena and Sudip Paul, editors. |
| title_full_unstemmed | Deep learning applications in medical imaging Sanjay Saxena and Sudip Paul, editors. |
| title_short | Deep learning applications in medical imaging |
| title_sort | deep learning applications in medical imaging |
| topic | Diagnostic imaging Digital techniques. Machine learning. Medical informatics. Deep Learning. Diagnostic Imaging. Image Processing, Computer-Assisted. Medical Informatics Applications. |
| topic_facet | Diagnostic imaging Digital techniques. Machine learning. Medical informatics. Deep Learning. Diagnostic Imaging. Image Processing, Computer-Assisted. Medical Informatics Applications. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5071-7 |
| work_keys_str_mv | AT paulsudip deeplearningapplicationsinmedicalimaging AT saxenasanjay deeplearningapplicationsinmedicalimaging AT igiglobal deeplearningapplicationsinmedicalimaging |