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Titlebook: Computer Vision and Machine Intelligence in Medical Image Analysis; International Sympos Mousumi Gupta,Debanjan Konar,Sambhunath Biswas Con

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書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis
副標(biāo)題International Sympos
編輯Mousumi Gupta,Debanjan Konar,Sambhunath Biswas
視頻videohttp://file.papertrans.cn/235/234066/234066.mp4
概述Covers the latest trends in computer vision and hybrid machine learning paradigms for medical image analysis.Includes related topics like magnetic resonance, computed tomography, optical and confocal
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Computer Vision and Machine Intelligence in Medical Image Analysis; International Sympos Mousumi Gupta,Debanjan Konar,Sambhunath Biswas Con
描述.This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26–27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals..
出版日期Conference proceedings 2020
關(guān)鍵詞Medical Image Segmentation; Data Augmentation; Medical Image Reconstruction; Deep Learning; Machine Lear
版次1
doihttps://doi.org/10.1007/978-981-13-8798-2
isbn_softcover978-981-13-8797-5
isbn_ebook978-981-13-8798-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Computer Vision and Machine Intelligence in Medical Image Analysis978-981-13-8798-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
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https://doi.org/10.1007/978-1-4302-0686-6 wide range of applications it has. There have been various methods to recognize and classify objects like shape matching, color matching, sliding window approach, etc. but a common problem the computational models face is the?appropriate representation of 3D objects, image variation with angle vari
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https://doi.org/10.1007/978-1-4302-0686-6ated significant illness. Many of the existing methods that are used to monitor the aforementioned vital signs are camera-based. In these methods, sensors are fixed to the body that are not sturdy to the motion of the subject. Another method to monitor vital signs is photoplethysmography (PPG), an e
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