Approaches and applications of deep learning in virtual medical care:
"The book will focus on Innovative approaches for medical sensor/image data analysis, event detection, segmentation, and abnormality detection, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and me...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2022
Hershey, PA Medical Information Science Reference [2022] |
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-898 DE-1049 DE-91 DE-706 DE-83 Volltext |
| Zusammenfassung: | "The book will focus on Innovative approaches for medical sensor/image data analysis, event detection, segmentation, and abnormality detection, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and medical image registration using deep learning |
| Beschreibung: | Includes bibliographical references and index Chapter 1. Importance of deep learning models in the medical imaging field -- Chapter 2. Optimized breast cancer premature detection method with computational segmentation: a systematic review mapping -- Chapter 3. Overview and analysis of present-day diabetic retinopathy (DR) detection techniques -- Chapter 4. Application of deep learning in epilepsy: a catalyst in better diagnosis of epileptic seizures and prevention -- Chapter 5. Computational statistics on stress patients with happiness and radiation indices by Vedic Homa therapy: a knowledge-based approach to get insights in a global pandemic -- Chapter 6. Deep learning -- Chapter 7. A systematic mapping study of low-grade tumor of brain cancer and CSF fluid detecting in MRI images through multi-algorithm techniques -- Chapter 8. Optimized hybrid prediction method for lung metastases -- Chapter 9. Virtual technical aids to help people with dysgraphia -- Chapter 10. A systematic mapping study of low-grade tumor of brain cancer and CSF fluid detecting approaches and parameters |
| Beschreibung: | 1 Online-Ressource (293 Seiten) |
| ISBN: | 9781799889304 |
| DOI: | 10.4018/978-1-7998-8929-8 |
Internformat
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| 245 | 1 | 0 | |a Approaches and applications of deep learning in virtual medical care |c Noor Zaman, Loveleen Gaur, and Mamoona Humayun, editor |
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| 500 | |a Includes bibliographical references and index | ||
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:17:29Z |
| indexdate | 2024-07-20T06:38:32Z |
| institution | BVB |
| isbn | 9781799889304 |
| language | English |
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| spelling | Approaches and applications of deep learning in virtual medical care Noor Zaman, Loveleen Gaur, and Mamoona Humayun, editor Hershey, Pennsylvania IGI Global 2022 Hershey, PA Medical Information Science Reference [2022] 1 Online-Ressource (293 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Chapter 1. Importance of deep learning models in the medical imaging field -- Chapter 2. Optimized breast cancer premature detection method with computational segmentation: a systematic review mapping -- Chapter 3. Overview and analysis of present-day diabetic retinopathy (DR) detection techniques -- Chapter 4. Application of deep learning in epilepsy: a catalyst in better diagnosis of epileptic seizures and prevention -- Chapter 5. Computational statistics on stress patients with happiness and radiation indices by Vedic Homa therapy: a knowledge-based approach to get insights in a global pandemic -- Chapter 6. Deep learning -- Chapter 7. A systematic mapping study of low-grade tumor of brain cancer and CSF fluid detecting in MRI images through multi-algorithm techniques -- Chapter 8. Optimized hybrid prediction method for lung metastases -- Chapter 9. Virtual technical aids to help people with dysgraphia -- Chapter 10. A systematic mapping study of low-grade tumor of brain cancer and CSF fluid detecting approaches and parameters "The book will focus on Innovative approaches for medical sensor/image data analysis, event detection, segmentation, and abnormality detection, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and medical image registration using deep learning Diagnosis Telecommunciation in medicine Machine learning Humayun, Mamoona edt Gaur, Loveleen edt Zaman, Noor edt IGI Global Sonstige oth Erscheint auch als Druck-Ausgabe 9781799889298 Erscheint auch als Druck-Ausgabe 1799889297 https://doi.org/10.4018/978-1-7998-8929-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Approaches and applications of deep learning in virtual medical care Diagnosis Telecommunciation in medicine Machine learning |
| title | Approaches and applications of deep learning in virtual medical care |
| title_auth | Approaches and applications of deep learning in virtual medical care |
| title_exact_search | Approaches and applications of deep learning in virtual medical care |
| title_exact_search_txtP | Approaches and applications of deep learning in virtual medical care |
| title_full | Approaches and applications of deep learning in virtual medical care Noor Zaman, Loveleen Gaur, and Mamoona Humayun, editor |
| title_fullStr | Approaches and applications of deep learning in virtual medical care Noor Zaman, Loveleen Gaur, and Mamoona Humayun, editor |
| title_full_unstemmed | Approaches and applications of deep learning in virtual medical care Noor Zaman, Loveleen Gaur, and Mamoona Humayun, editor |
| title_short | Approaches and applications of deep learning in virtual medical care |
| title_sort | approaches and applications of deep learning in virtual medical care |
| topic | Diagnosis Telecommunciation in medicine Machine learning |
| topic_facet | Diagnosis Telecommunciation in medicine Machine learning |
| url | https://doi.org/10.4018/978-1-7998-8929-8 |
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