Detection systems in lung cancer and imaging, Volume 1:
This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications...
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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Bristol [England]
IOP Publishing
[2021]
|
| Series: | IOP ebooks. [2021 collection]
|
| Subjects: | |
| Online Access: | Volltext |
| Summary: | This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of computer aided diagnosis relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer |
| Item Description: | Includes bibliographical references |
| Physical Description: | 1 Online-Ressource illustrations (some color) |
| ISBN: | 9780750333559 9780750333542 |
| DOI: | 10.1088/978-0-7503-3355-9 |
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| illustrated | Illustrated |
| index_date | 2024-07-03T19:24:32Z |
| indexdate | 2024-07-10T09:24:14Z |
| institution | BVB |
| isbn | 9780750333559 9780750333542 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033268522 |
| oclc_num | 1304482811 |
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| physical | 1 Online-Ressource illustrations (some color) |
| psigel | ZDB-135-IAL |
| publishDate | 2021 |
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| publisher | IOP Publishing |
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| series2 | IOP ebooks. [2021 collection] |
| spelling | Detection systems in lung cancer and imaging, Volume 1 edited by Ayman El-Baz, Jasjit S. Suri Bristol [England] IOP Publishing [2021] 1 Online-Ressource illustrations (some color) txt rdacontent c rdamedia cr rdacarrier IOP ebooks. [2021 collection] Includes bibliographical references This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of computer aided diagnosis relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer Medical imaging / bicssc Medical physics and biophysics / bisacsh Lungs Cancer Diagnosis Diagnostic imaging Data processing El-Baz, Ayman S. edt Suri, Jasjit S. edt Erscheint auch als Druck-Ausgabe 9780750333535 Erscheint auch als Druck-Ausgabe 9780750333566 https://doi.org/10.1088/978-0-7503-3355-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Detection systems in lung cancer and imaging, Volume 1 Medical imaging / bicssc Medical physics and biophysics / bisacsh Lungs Cancer Diagnosis Diagnostic imaging Data processing |
| title | Detection systems in lung cancer and imaging, Volume 1 |
| title_auth | Detection systems in lung cancer and imaging, Volume 1 |
| title_exact_search | Detection systems in lung cancer and imaging, Volume 1 |
| title_exact_search_txtP | Detection systems in lung cancer and imaging, Volume 1 |
| title_full | Detection systems in lung cancer and imaging, Volume 1 edited by Ayman El-Baz, Jasjit S. Suri |
| title_fullStr | Detection systems in lung cancer and imaging, Volume 1 edited by Ayman El-Baz, Jasjit S. Suri |
| title_full_unstemmed | Detection systems in lung cancer and imaging, Volume 1 edited by Ayman El-Baz, Jasjit S. Suri |
| title_short | Detection systems in lung cancer and imaging, Volume 1 |
| title_sort | detection systems in lung cancer and imaging volume 1 |
| topic | Medical imaging / bicssc Medical physics and biophysics / bisacsh Lungs Cancer Diagnosis Diagnostic imaging Data processing |
| topic_facet | Medical imaging / bicssc Medical physics and biophysics / bisacsh Lungs Cancer Diagnosis Diagnostic imaging Data processing |
| url | https://doi.org/10.1088/978-0-7503-3355-9 |
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