Deep learning approaches for early diagnosis of neurodegenerative diseases:
Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnos...
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| Weitere Verfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in medical diagnosis, treatment, and care (AMDTC) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 Volltext |
| Zusammenfassung: | Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders.Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases. |
| Beschreibung: | 1 Online-Ressource (xxi, 325 Seiten) Illustrationen |
| ISBN: | 9798369312827 |
| DOI: | 10.4018/979-8-3693-1281-0 |
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| 520 | |a Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders.Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases. | ||
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| discipline | Medizin |
| discipline_str_mv | Medizin |
| doi_str_mv | 10.4018/979-8-3693-1281-0 |
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| id | DE-604.BV049645351 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:39:47Z |
| indexdate | 2024-08-24T01:06:59Z |
| institution | BVB |
| isbn | 9798369312827 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034988897 |
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| physical | 1 Online-Ressource (xxi, 325 Seiten) Illustrationen |
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| publisher | IGI Global |
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| series2 | Advances in medical diagnosis, treatment, and care (AMDTC) book series |
| spelling | Deep learning approaches for early diagnosis of neurodegenerative diseases Raul Villamarin Rodriguez, Hemachandran Kannan, Revathi T., Khalid Shaikh, Sreelekshmi Bekal Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xxi, 325 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in medical diagnosis, treatment, and care (AMDTC) book series Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders.Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases. Deep learning (Machine learning) Nervous system Degeneration Rodriguez, Raul Villamarin edt Kannan, Hemachandran 1985- edt T., Revathi 1989- edt Shaikh, Khalid edt Bekal, Sreelekshmi 1991- edt Erscheint auch als Druck-Ausgabe 979-8-3693-1281-0 https://doi.org/10.4018/979-8-3693-1281-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Deep learning approaches for early diagnosis of neurodegenerative diseases Deep learning (Machine learning) Nervous system Degeneration |
| title | Deep learning approaches for early diagnosis of neurodegenerative diseases |
| title_auth | Deep learning approaches for early diagnosis of neurodegenerative diseases |
| title_exact_search | Deep learning approaches for early diagnosis of neurodegenerative diseases |
| title_exact_search_txtP | Deep learning approaches for early diagnosis of neurodegenerative diseases |
| title_full | Deep learning approaches for early diagnosis of neurodegenerative diseases Raul Villamarin Rodriguez, Hemachandran Kannan, Revathi T., Khalid Shaikh, Sreelekshmi Bekal |
| title_fullStr | Deep learning approaches for early diagnosis of neurodegenerative diseases Raul Villamarin Rodriguez, Hemachandran Kannan, Revathi T., Khalid Shaikh, Sreelekshmi Bekal |
| title_full_unstemmed | Deep learning approaches for early diagnosis of neurodegenerative diseases Raul Villamarin Rodriguez, Hemachandran Kannan, Revathi T., Khalid Shaikh, Sreelekshmi Bekal |
| title_short | Deep learning approaches for early diagnosis of neurodegenerative diseases |
| title_sort | deep learning approaches for early diagnosis of neurodegenerative diseases |
| topic | Deep learning (Machine learning) Nervous system Degeneration |
| topic_facet | Deep learning (Machine learning) Nervous system Degeneration |
| url | https://doi.org/10.4018/979-8-3693-1281-0 |
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