| 書(shū)目名稱(chēng) | Hybrid Machine Intelligence for Medical Image Analysis |
| 編輯 | Siddhartha Bhattacharyya,Debanjan Konar,Kalpana Sh |
| 視頻video | http://file.papertrans.cn/431/430125/430125.mp4 |
| 概述 | Covers a broad range of potential machine learning and computational intelligence paradigms for medical image analysis.Includes an in-depth analysis of hybrid machine intelligence supported by real-wo |
| 叢書(shū)名稱(chēng) | Studies in Computational Intelligence |
| 圖書(shū)封面 |  |
| 描述 | .The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks. . |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Machine Learning; Pattern Recognition; Intelligent Image Analysis; Medical Imaging; Computer Vision; Comp |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-13-8930-6 |
| isbn_softcover | 978-981-13-8932-0 |
| isbn_ebook | 978-981-13-8930-6Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Singapore Pte Ltd. 2020 |
|Archiver|手機(jī)版|小黑屋|
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