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Titlebook: Image Analysis and Recognition; 16th International C Fakhri Karray,Aurélio Campilho,Alfred Yu Conference proceedings 2019 Springer Nature S

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书目名称Image Analysis and Recognition
副标题16th International C
编辑Fakhri Karray,Aurélio Campilho,Alfred Yu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Image Analysis and Recognition; 16th International C Fakhri Karray,Aurélio Campilho,Alfred Yu Conference proceedings 2019 Springer Nature S
描述.This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019..The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation..
出版日期Conference proceedings 2019
关键词artificial intelligence; classification; computer vision; data mining; estimation; face recognition; image
版次1
doihttps://doi.org/10.1007/978-3-030-27272-2
isbn_softcover978-3-030-27271-5
isbn_ebook978-3-030-27272-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
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Sequential Image Synthesis for Human Activity Video Generationa target domain without using any complicated pose detection or extraction method. Our objective in this work is to learn a mapping between two consecutive sequences of images from two domains representing two different activities and use that mapping to transfer the activity from one domain to anot
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A Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Basedcies by quantifying the changes in multiple projections in local windows of greyscale images. By doing so we remove the need to store the full projections, thus significantly reducing the histogram size, and decreasing computation time for image retrieval and classification tasks. Furthermore, we in
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Computer-Aided Tumor Segmentation from T2-Weighted MR Images of Patient-Derived Tumor Xenograftsd algorithms. Segmentation results obtained from six metrics are Jaccard score (>80%), Dice score (>85%), F score (>85%), G-mean (>90%), volume similarity matrix (>95%) and relative volume error (<8%). The proposed method reliably localizes and segments PDX tumors and has the potential to facilitate
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er what ‘self’ means and to disrupt humanistic hierarchies and the sanctity of the individual. Furthermore, I suggest that this aligns with Deleuze and Guattari’s (.) notion of becoming-child, and that, through the posthuman-I, we are able to unlearn the problematic aspects of self, such that we mig
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