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170830s2017 enka ob 001 0 eng d |
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|a 1002613511
|a 1066557816
|a 1235843534
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|a 9780128123218
|q (electronic bk.)
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|a 0128123214
|q (electronic bk.)
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|z 9780128121337
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|z 0128121335
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|a (OCoLC)1002195690
|z (OCoLC)1002613511
|z (OCoLC)1066557816
|z (OCoLC)1235843534
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|a RC78.7.D53
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|a HEA
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|a MED
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|a 610.3
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|a Biomedical texture analysis :
|b fundamentals, tools and challenges /
|c edited by Adrien Depeursinge, Omar S. Al-Kadi, J. Ross Mitchell.
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260 |
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|a London :
|b Academic Press,
|c �2017.
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300 |
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|a 1 online resource :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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490 |
1 |
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|a The Elsevier and MICCAI society book series
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504 |
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|a Includes bibliographical references and index.
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505 |
0 |
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|a Front Cover; Biomedical Texture Analysis; Copyright; Contents; Preface; 1 Fundamentals of Texture Processing for Biomedical Image Analysis; 1.1 Introduction; 1.2 Biomedical texture processes; 1.2.1 Image intensity versus image texture; 1.2.2 Notation and sampling; 1.2.3 Texture functions as realizations of texture processes; 1.2.3.1 Texture stationarity; 1.2.4 Primitives and textons; 1.2.5 Biomedical image modalities; 1.3 Biomedical Texture Analysis (BTA); 1.3.1 Texture operators and aggregation functions; 1.3.2 Normalization; 1.3.3 Invariances.
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|a 1.3.3.1 Invariance and equivariance of operators1.3.3.2 Invariances of texture measurements; 1.3.3.3 Nongeometric invariances; 1.4 Conclusions; Acknowledgments; References; 2 Multiscale and Multidirectional Biomedical Texture Analysis; 2.1 Introduction; 2.2 Notation; 2.3 Multiscale image analysis; 2.3.1 Spatial versus spectral coverage of linear operators: the uncertainty principle; 2.3.2 Region of interest and response map aggregation; 2.4 Multidirectional image analysis; 2.4.1 The Local Organization of Image Directions (LOID); 2.4.2 Directional sensitivity of texture operators.
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|a 2.4.3 Locally rotation-invariant operators and moving frames representations2.4.4 Directionally insensitive, sensitive, and moving frames representations for texture classi cation: a quantitative performance comparison; 2.5 Discussions and conclusions; Acknowledgments; References; 3 Biomedical Texture Operators and Aggregation Functions; 3.1 Introduction; 3.2 Convolutional approaches; 3.2.1 Circularly/spherically symmetric lters; 3.2.2 Directional lters; 3.2.2.1 Gabor wavelets; 3.2.2.2 Maximum Response 8 (MR8); 3.2.2.3 Histogram of Oriented Gradients (HOG); 3.2.2.4 Riesz transform.
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|a 3.2.3 Learned lters3.2.3.1 Steerable Wavelet Machines (SWM); 3.2.3.2 Dictionary Learning (DL); 3.2.3.3 Deep Convolutional Neural Networks (CNN); 3.2.3.4 Data augmentation; 3.3 Gray-level matrices; 3.3.1 Gray-Level Cooccurrence Matrices (GLCM); 3.3.2 Gray-Level Run-Length Matrices (GLRLM); 3.3.3 Gray-Level Size Zone Matrices (GLSZM); 3.4 Local Binary Patterns (LBP); 3.5 Fractals; 3.6 Discussions and conclusions; Acknowledgments; References; 4 Deep Learning in Texture Analysis and Its Application to Tissue Image Classi cation; 4.1 Introduction.
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|a 4.2 Introduction to convolutional neural networks4.2.1 Neurons and nonlinearity; 4.2.2 Neural network; 4.2.3 Training; 4.2.3.1 Forward pass; 4.2.3.2 Error; 4.2.3.3 Backpropagation of the error; 4.2.3.4 Stochastic gradient descent; 4.2.3.5 Weights initialization; 4.2.3.6 Regularization; 4.2.4 CNN; 4.2.4.1 Main building blocks; 4.2.4.2 CNN architectures; 4.2.4.3 Visualization; 4.3 Deep learning for texture analysis: literature review; 4.3.1 Early work; 4.3.2 Texture speci c CNNs; 4.3.3 CNNs for biomedical texture classi cation; 4.4 End-to-end texture CNN: proposed solution; 4.4.1 Method.
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650 |
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|a Diagnostic imaging.
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650 |
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0 |
|a Image processing.
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650 |
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0 |
|a Image analysis.
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650 |
1 |
2 |
|a Diagnostic Imaging
|0 (DNLM)D003952
|
650 |
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6 |
|a Imagerie pour le diagnostic.
|0 (CaQQLa)201-0146124
|
650 |
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6 |
|a Traitement d'images.
|0 (CaQQLa)201-0029952
|
650 |
|
6 |
|a Analyse d'images.
|0 (CaQQLa)201-0313660
|
650 |
|
7 |
|a image processing.
|2 aat
|0 (CStmoGRI)aat300237864
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650 |
|
7 |
|a HEALTH & FITNESS
|x Diseases
|x General.
|2 bisacsh
|
650 |
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7 |
|a MEDICAL
|x Clinical Medicine.
|2 bisacsh
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650 |
|
7 |
|a MEDICAL
|x Diseases.
|2 bisacsh
|
650 |
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7 |
|a MEDICAL
|x Evidence-Based Medicine.
|2 bisacsh
|
650 |
|
7 |
|a MEDICAL
|x Internal Medicine.
|2 bisacsh
|
650 |
|
7 |
|a Diagnostic imaging
|2 fast
|0 (OCoLC)fst00892354
|
650 |
|
7 |
|a Image analysis
|2 fast
|0 (OCoLC)fst00967482
|
650 |
|
7 |
|a Image processing
|2 fast
|0 (OCoLC)fst00967501
|
700 |
1 |
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|a Depeursinge, Adrien.
|
700 |
1 |
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|a Al-kadi, Omar S.
|
700 |
1 |
|
|a Mitchell, J. Ross.
|
776 |
0 |
8 |
|i Print version:
|z 9780128121337
|z 0128121335
|w (OCoLC)979562345
|
830 |
|
0 |
|a Elsevier and MICCAI Society book series.
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128121337
|z Texto completo
|