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Titlebook: Biomedical Imaging; Advances in Artifici Ankur Gogoi,Nirmal Mazumder Book 2024 The Editor(s) (if applicable) and The Author(s), under exclu

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發(fā)表于 2025-3-21 17:31:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Biomedical Imaging
期刊簡(jiǎn)稱Advances in Artifici
影響因子2023Ankur Gogoi,Nirmal Mazumder
視頻videohttp://file.papertrans.cn/193/192708/192708.mp4
發(fā)行地址Highlights the rapidly developing field of AI and ML along with their application in biomedical imaging.Includes a comprehensive description of several technology-driven spectacular advances made over
學(xué)科分類Biological and Medical Physics, Biomedical Engineering
圖書(shū)封面Titlebook: Biomedical Imaging; Advances in Artifici Ankur Gogoi,Nirmal Mazumder Book 2024 The Editor(s) (if applicable) and The Author(s), under exclu
影響因子.This book presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases. While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan—making it increasingly difficult for experts to analyze and interpret. In this context, the application of artificial intelligence (AI) and machine learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and complicated datasets and providing clear insight into the potential abnormalities with excellent accuracy, sensitivity, and specificity. The hallmark of this book will be the contributions from international
Pindex Book 2024
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書(shū)目名稱Biomedical Imaging影響因子(影響力)




書(shū)目名稱Biomedical Imaging影響因子(影響力)學(xué)科排名




書(shū)目名稱Biomedical Imaging網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Biomedical Imaging網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Biomedical Imaging被引頻次




書(shū)目名稱Biomedical Imaging被引頻次學(xué)科排名




書(shū)目名稱Biomedical Imaging年度引用




書(shū)目名稱Biomedical Imaging年度引用學(xué)科排名




書(shū)目名稱Biomedical Imaging讀者反饋




書(shū)目名稱Biomedical Imaging讀者反饋學(xué)科排名




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U-Net: A Versatile Deep Learning Architecture for Multi-Disease Detection,aging modalities. The chapter highlights variants of U-Nets and presents various data augmentation techniques to improve the performance. The chapter covers the segmentation of brain tumors, lung nodules, and liver lesions.
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發(fā)表于 2025-3-23 07:28:46 | 只看該作者
Deep Learning Integrated Multiphoton Microscopy,es. DL is assisting us in moving toward data-driven instrument designs that combine microscopy and computing techniques. This article gives an overview of recent work that has used ML techniques to various?types of advanced?microscopy and sensing systems and their biomedical applications.
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