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: | DE-862 DE-863 |
| 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 Seiten) 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 Seiten) | ||
| 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 | 0 | |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. |
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Artificial Neural Networks. | ||
| 653 | |a Breast Cancer. | ||
| 653 | |a Cancer Diagnosis. | ||
| 653 | |a Electrical Impedance Tomography. | ||
| 653 | |a Image Reconstruction. | ||
| 653 | |a Intelligent Systems. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Mammary Ultrasound. | ||
| 653 | |a Mammography. | ||
| 653 | |a Medical Imaging. | ||
| 653 | |a Physiology of Mammary Tissue. | ||
| 653 | |a Thermographic Imaging. | ||
| 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 | |
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| 966 | 4 | 0 | |l DE-862 |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 |
| 966 | 4 | 0 | |l DE-863 |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-862 | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00242360 |
|---|---|
| _version_ | 1826942598207504384 |
| adam_text | |
| any_adam_object | |
| author2 | Santana, Maira Araujo de 1995- Santos, Wellington Pinheiro dos Silva, Washington Wagner Azevedo da 1979- |
| author2_role | edt edt edt |
| author2_variant | m a d s mad mads w p d s wpd wpds w w a d s wwad wwads |
| author_facet | Santana, Maira Araujo de 1995- Santos, Wellington Pinheiro dos Silva, Washington Wagner Azevedo da 1979- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | R - Medicine |
| callnumber-label | RC280 |
| callnumber-raw | RC280.B8 B56 2020e |
| callnumber-search | RC280.B8 B56 2020e |
| callnumber-sort | RC 3280 B8 B56 42020E |
| callnumber-subject | RC - Internal Medicine |
| collection | ZDB-98-IGB |
| 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 | 2025-03-18T14:30:33Z |
| institution | BVB |
| isbn | 9781799834571 |
| language | English |
| oclc_num | 1182632489 |
| open_access_boolean | |
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| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 23 PDFs (357 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | IGI Global |
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| 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 Seiten) 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. Artificial Intelligence. Artificial Neural Networks. Breast Cancer. Cancer Diagnosis. Electrical Impedance Tomography. Image Reconstruction. Intelligent Systems. Machine Learning. Mammary Ultrasound. Mammography. Medical Imaging. Physiology of Mammary Tissue. Thermographic Imaging. 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 |
| 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. |
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