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Titlebook: Medical Image Understanding and Analysis; 23rd Conference, MIU Yalin Zheng,Bryan M. Williams,Ke Chen Conference proceedings 2020 Springer N

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A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammogr our proposed method, and experimental results demonstrate that our detection algorithm outperforms other reported methods, reaching a higher sensitivity (80.6%) and reducing FP numbers to lower levels.
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Wilms’ Tumor in Childhood: Can Pattern Recognition Help for Classification?therapy. We use a bag of visual model and show that visual clues are present that help to approximate the developing subtype..Last but not least, we provide our data set of 54 kidneys with nephroblastomatosis in conjunction with 148 Wilms’ tumors.
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Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcificationsn of several tree related micro-calcification features. We interlinked the distribution aspect of calcifications with the tree structures at each scale. Classification results show an accuracy of . for MIAS and . for DDSM, which is in-line with the state-of-the-art methods.
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Conference proceedings 2020oncology and tumour imaging; lesion, wound and ulcer analysis; biostatistics; fetal imaging; enhancement and reconstruction; diagnosis, classification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and posters..
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1865-0929 sification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and posters..978-3-030-39342-7978-3-030-39343-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
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https://doi.org/10.1007/978-3-030-39343-4artificial intelligence; bioinformatics; computer systems; computer vision; image analysis; image process
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/m/image/629287.jpg
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