Intelligent medicine on prediction of pelvic lymph node metastasis /

Focuses on leveraging intelligent medical techniques to predict lymph node metastasis, using pelvic cancer as a primary case study. Combined with the actual clinical application scenarios, this book introduces deep neural network models, application systems, and carries out method concentrated on th...

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Autors principals: Zhang, Haixian (Autor), Yi, Zhang (Autor), Wang, Ziqiang (Physician) (Autor)
Format: Electrònic eBook
Idioma:anglès
Publicat: London, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier, [2025]
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Accés en línia:ScienceDirect
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001 on1464589515
003 OCoLC
005 20260915095216.0
006 m o d
007 cr cnu---unuuu
008 241101s2025 enka ob 001 0 eng d
040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d OCLCO  |d OPELS  |d EMU  |d OCLCO  |d YDX  |d OCLCL  |d OCLCF  |d OCLCO  |d OCLCQ 
020 |a 9780443338762  |q electronic book 
020 |a 0443338760  |q electronic book 
020 |z 9780443338755  |q paperback 
020 |z 0443338752  |q paperback 
035 |a (OCoLC)1464589515 
050 4 |a RC280.L9  |b Z43 2025 
082 0 4 |a 616.99/442  |2 23/eng/20241203  |1 https://id.oclc.org/worldcat/ddc/E3bh7TVjY4MmYB47CJHgbg4KCf 
100 1 |a Zhang, Haixian,  |e author. 
245 1 0 |a Intelligent medicine on prediction of pelvic lymph node metastasis /  |c Haixian Zhang, Intelligent Medicine Center, Sichuan University, China, Zhang Yi, Intelligent Medicine Center, Sichuan University, China, Ziqiang Wang, West China Hospital, Sichuan University, China. 
264 1 |a London, United Kingdom ;  |a San Diego, CA, United States :  |b Academic Press, an imprint of Elsevier,  |c [2025] 
300 |a 1 online resource (xiii, 252 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
340 |p illustration  |0 http://rdaregistry.info/termList/IllusContent/1014  |2 rdaill 
340 |g polychrome  |0 http://rdaregistry.info/termList/RDAColourContent/1003  |2 rdacc 
504 |a Includes bibliographical references and index. 
505 0 |a Chapter 1. Introduction -- Chapter 2. Some popular neural networks -- Chapter 3. Introduction to pelvic lymph nodes and data preparations -- Chapter 4. Intelligent localization of pelvic lymph nodes -- Chapter 5. Intelligent partition of pelvic lymph nodes -- Chapter 6. Intelligent segmentation of pelvic lymph nodes and accessory accompanying pelvic artery -- Chapter 7. Intelligent prediction of pelvic lymph node metastasis -- Chapter 8. Summary. 
520 |a Focuses on leveraging intelligent medical techniques to predict lymph node metastasis, using pelvic cancer as a primary case study. Combined with the actual clinical application scenarios, this book introduces deep neural network models, application systems, and carries out method concentrated on the four major links of lymph node location, partition, segmentation and metastasis prediction, aiming to provide theoretical and experimental reference for researchers in this field. In 8 chapters this title introduces the reader to intelligent medicine and deep neural networks, summarises the intelligent biological neural network and the classical artificial neural network, introduces several commonly used network architectures and a new neural network model, and introduces the deep learning based algorithms on lymph nodes metastasis prediction, summarising the method and experimental results. This book is a friendly learning tool, providing beginners and researchers with an in-depth knowledge of deep learning and how to develop intelligent medicine methods in lymph node metastasis prediction. 
588 |a Description based on online resource; title from digital title page (viewed on April 09, 2025). 
650 0 |a Lymph nodes  |x Cancer  |x Research. 
650 0 |a Pelvis  |x Cancer. 
650 0 |a Artificial intelligence  |x Medical applications. 
650 6 |a Ganglions lymphatiques  |0 (CaQQLa)201-0078415  |x Cancer  |0 (CaQQLa)201-0378838  |x Recherche.  |0 (CaQQLa)201-0379425 
650 7 |a Artificial intelligence  |x Medical applications  |2 fast  |0 (OCoLC)fst00817267 
650 7 |a Pelvis  |x Cancer  |2 fast  |0 (OCoLC)fst01056741 
700 1 |a Yi, Zhang,  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjHvH3Gyft8mWVCcvQ4XV3 
700 1 |a Wang, Ziqiang  |c (Physician),  |e author. 
776 0 8 |c Original  |z 0443338752  |z 9780443338755  |w (OCoLC)1438917573 
856 4 0 |3 ScienceDirect  |u https://www.sciencedirect.com/science/book/9780443338755