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Titlebook: Hybrid Machine Intelligence for Medical Image Analysis; Siddhartha Bhattacharyya,Debanjan Konar,Kalpana Sh Book 2020 Springer Nature Singa

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发表于 2025-3-21 16:44:25 | 显示全部楼层 |阅读模式
书目名称Hybrid Machine Intelligence for Medical Image Analysis
编辑Siddhartha Bhattacharyya,Debanjan Konar,Kalpana Sh
视频video
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
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Hybrid Machine Intelligence for Medical Image Analysis;  Siddhartha Bhattacharyya,Debanjan Konar,Kalpana Sh Book 2020 Springer Nature Singa
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
关键词Machine Learning; Pattern Recognition; Intelligent Image Analysis; Medical Imaging; Computer Vision; Comp
版次1
doihttps://doi.org/10.1007/978-981-13-8930-6
isbn_softcover978-981-13-8932-0
isbn_ebook978-981-13-8930-6Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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发表于 2025-3-21 21:52:32 | 显示全部楼层
Book 2020region 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. .
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Optical Marker- and Vision-Based Human Gait Biomechanical Analysis,ement and locomotion. Finally, the six joints of the lower limb are tracked and an inverse kinematics along with inverse dynamics library for the human gait is developed and validated with analytical geometrical results.
发表于 2025-3-22 16:37:18 | 显示全部楼层
Book 2020t 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; auto
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Siddhartha Bhattacharyya,Debanjan Konar,Kalpana ShCovers 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
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Studies in Computational Intelligencehttp://image.papertrans.cn/h/image/430125.jpg
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978-981-13-8932-0Springer Nature Singapore Pte Ltd. 2020
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