Biomedical computing for breast cancer detection and diagnosis:
"This book presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis"-...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis"-- |
| Beschreibung: | 23 PDFs (357 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799834571 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Biomedical computing for breast cancer detection and diagnosis |c Wellington Pinheiro dos Santos, Washington Wagner Azevedo da Silva, and Maira Araujo de Santana, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2020] | |
| 300 | |a 23 PDFs (357 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. Prototype of a low-cost impedance tomography based on the open-hardware paradigm -- Chapter 2. Using extreme learning machines and the backprojection algorithm as an alternative to reconstruct electrical impedance tomography images -- Chapter 3. Classification of breast lesions in frontal thermographic images using a diagnosis aid intelligent system -- Chapter 4. Feature selection based on dialectical optimization algorithm for breast lesion classification in thermographic images -- Chapter 5. Computer techniques for detection of breast cancer and follow up neoadjuvant treatment: using infrared examinations -- Chapter 6. Breast cancer diagnosis with mammography: recent advances on CBMR-based CAD systems -- Chapter 7. The evolution of new trends in breast thermography -- Chapter 8. Thermography in biomedicine: history and breakthrough -- Chapter 9. Imaging techniques for breast cancer diagnosis -- Chapter 10. Applications of the use of infrared breast images: segmentation and classification of breast abnormalities -- Chapter 11. Developing and using computational frameworks to conduct numerical analysis and calculate temperature profiles and to classify breast abnormalities -- Chapter 12. Applications of the use of infrared breast images: numerical calculations of temperature profile and estimates of thermophysical properties -- Chapter 13. The efforts of deep learning approaches for breast cancer detection based on x-ray images. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis"-- |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 08/06/2020). | ||
| 650 | 0 | |a Breat |x Cancer. | |
| 650 | 0 | |a Diagnostic imaging |x Data processing. | |
| 650 | 1 | 2 | |a Breast Neoplasms |x diagnosis. |
| 650 | 2 | 2 | |a Diagnosis, Computer-Assisted. |
| 700 | 1 | |a Santana, Maira Araujo de |d 1995- |e editor. | |
| 700 | 1 | |a Santos, Wellington Pinheiro dos, |e editor. | |
| 700 | 1 | |a Silva, Washington Wagner Azevedo da |d 1979- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019056382 | |
| 776 | 0 | 8 | |i Print version: |z 1799834565 |z 9781799834564 |w (DLC) 2019056382 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3456-4 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00242360 |
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| _version_ | 1816797083673296896 |
| adam_text | |
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| author2 | Santana, Maira Araujo de 1995- Santos, Wellington Pinheiro dos Silva, Washington Wagner Azevedo da 1979- |
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| author_facet | Santana, Maira Araujo de 1995- Santos, Wellington Pinheiro dos Silva, Washington Wagner Azevedo da 1979- |
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| contents | Chapter 1. Prototype of a low-cost impedance tomography based on the open-hardware paradigm -- Chapter 2. Using extreme learning machines and the backprojection algorithm as an alternative to reconstruct electrical impedance tomography images -- Chapter 3. Classification of breast lesions in frontal thermographic images using a diagnosis aid intelligent system -- Chapter 4. Feature selection based on dialectical optimization algorithm for breast lesion classification in thermographic images -- Chapter 5. Computer techniques for detection of breast cancer and follow up neoadjuvant treatment: using infrared examinations -- Chapter 6. Breast cancer diagnosis with mammography: recent advances on CBMR-based CAD systems -- Chapter 7. The evolution of new trends in breast thermography -- Chapter 8. Thermography in biomedicine: history and breakthrough -- Chapter 9. Imaging techniques for breast cancer diagnosis -- Chapter 10. Applications of the use of infrared breast images: segmentation and classification of breast abnormalities -- Chapter 11. Developing and using computational frameworks to conduct numerical analysis and calculate temperature profiles and to classify breast abnormalities -- Chapter 12. Applications of the use of infrared breast images: numerical calculations of temperature profile and estimates of thermophysical properties -- Chapter 13. The efforts of deep learning approaches for breast cancer detection based on x-ray images. |
| ctrlnum | (CaBNVSL)slc00000679 (OCoLC)1182632489 |
| dewey-full | 616.99/449075 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
| dewey-raw | 616.99/449075 |
| dewey-search | 616.99/449075 |
| dewey-sort | 3616.99 6449075 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00242360 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:56Z |
| institution | BVB |
| isbn | 9781799834571 |
| language | English |
| oclc_num | 1182632489 |
| open_access_boolean | |
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| physical | 23 PDFs (357 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Biomedical computing for breast cancer detection and diagnosis Wellington Pinheiro dos Santos, Washington Wagner Azevedo da Silva, and Maira Araujo de Santana, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020] 23 PDFs (357 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Prototype of a low-cost impedance tomography based on the open-hardware paradigm -- Chapter 2. Using extreme learning machines and the backprojection algorithm as an alternative to reconstruct electrical impedance tomography images -- Chapter 3. Classification of breast lesions in frontal thermographic images using a diagnosis aid intelligent system -- Chapter 4. Feature selection based on dialectical optimization algorithm for breast lesion classification in thermographic images -- Chapter 5. Computer techniques for detection of breast cancer and follow up neoadjuvant treatment: using infrared examinations -- Chapter 6. Breast cancer diagnosis with mammography: recent advances on CBMR-based CAD systems -- Chapter 7. The evolution of new trends in breast thermography -- Chapter 8. Thermography in biomedicine: history and breakthrough -- Chapter 9. Imaging techniques for breast cancer diagnosis -- Chapter 10. Applications of the use of infrared breast images: segmentation and classification of breast abnormalities -- Chapter 11. Developing and using computational frameworks to conduct numerical analysis and calculate temperature profiles and to classify breast abnormalities -- Chapter 12. Applications of the use of infrared breast images: numerical calculations of temperature profile and estimates of thermophysical properties -- Chapter 13. The efforts of deep learning approaches for breast cancer detection based on x-ray images. Restricted to subscribers or individual electronic text purchasers. "This book presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/06/2020). Breat Cancer. Diagnostic imaging Data processing. Breast Neoplasms diagnosis. Diagnosis, Computer-Assisted. Santana, Maira Araujo de 1995- editor. Santos, Wellington Pinheiro dos, editor. Silva, Washington Wagner Azevedo da 1979- editor. IGI Global, publisher. (Original) (DLC)2019056382 Print version: 1799834565 9781799834564 (DLC) 2019056382 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3456-4 Volltext |
| spellingShingle | Biomedical computing for breast cancer detection and diagnosis Chapter 1. Prototype of a low-cost impedance tomography based on the open-hardware paradigm -- Chapter 2. Using extreme learning machines and the backprojection algorithm as an alternative to reconstruct electrical impedance tomography images -- Chapter 3. Classification of breast lesions in frontal thermographic images using a diagnosis aid intelligent system -- Chapter 4. Feature selection based on dialectical optimization algorithm for breast lesion classification in thermographic images -- Chapter 5. Computer techniques for detection of breast cancer and follow up neoadjuvant treatment: using infrared examinations -- Chapter 6. Breast cancer diagnosis with mammography: recent advances on CBMR-based CAD systems -- Chapter 7. The evolution of new trends in breast thermography -- Chapter 8. Thermography in biomedicine: history and breakthrough -- Chapter 9. Imaging techniques for breast cancer diagnosis -- Chapter 10. Applications of the use of infrared breast images: segmentation and classification of breast abnormalities -- Chapter 11. Developing and using computational frameworks to conduct numerical analysis and calculate temperature profiles and to classify breast abnormalities -- Chapter 12. Applications of the use of infrared breast images: numerical calculations of temperature profile and estimates of thermophysical properties -- Chapter 13. The efforts of deep learning approaches for breast cancer detection based on x-ray images. Breat Cancer. Diagnostic imaging Data processing. Breast Neoplasms diagnosis. Diagnosis, Computer-Assisted. |
| title | Biomedical computing for breast cancer detection and diagnosis |
| title_auth | Biomedical computing for breast cancer detection and diagnosis |
| title_exact_search | Biomedical computing for breast cancer detection and diagnosis |
| title_full | Biomedical computing for breast cancer detection and diagnosis Wellington Pinheiro dos Santos, Washington Wagner Azevedo da Silva, and Maira Araujo de Santana, editors. |
| title_fullStr | Biomedical computing for breast cancer detection and diagnosis Wellington Pinheiro dos Santos, Washington Wagner Azevedo da Silva, and Maira Araujo de Santana, editors. |
| title_full_unstemmed | Biomedical computing for breast cancer detection and diagnosis Wellington Pinheiro dos Santos, Washington Wagner Azevedo da Silva, and Maira Araujo de Santana, editors. |
| title_short | Biomedical computing for breast cancer detection and diagnosis |
| title_sort | biomedical computing for breast cancer detection and diagnosis |
| topic | Breat Cancer. Diagnostic imaging Data processing. Breast Neoplasms diagnosis. Diagnosis, Computer-Assisted. |
| topic_facet | Breat Cancer. Diagnostic imaging Data processing. Breast Neoplasms diagnosis. Diagnosis, Computer-Assisted. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3456-4 |
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