Title Medical imaging and computer-aided diagnosis : proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) / Ruidan Su, Han Liu, editors

Published Singapore : Springer, 2020

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Description 1 online resource (254 pages) Series Lecture Notes in Electrical Engineering ; v. 633 Lecture notes in electrical engineering ; v. 633. Contents Intro -- Preface -- Organization -- Honorable Chair -- General Chair -- Program Chairs -- Publication Chair -- Keynote Speakers -- Technical Program Committee -- Contents -- Computer Modeling and Laser Stereolithography in Cranio-Orbital Reconstructive Surgery -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Sparse Representation Label Fusion Method Combining Pixel Grayscale Weight for Brain MR Segmentation -- 1 Introduction -- 2 Methods -- 2.1 Atlas Registration -- 2.2 Parse Representation Method -- 2.3 Pixel Grayscale Weight Setting 2.4 Label Fusion -- 3 Experiments and Results -- 3.1 Segmentation Evaluation Index -- 3.2 Influence of the Iterations -- 3.3 Detailed Segmentation Results -- 4 Discussion and Conclusion -- References -- Deep Learning for Mental Illness Detection Using Brain SPECT Imaging -- 1 Introduction -- 2 Main Results: CNN Models for Single Conditions -- 2.1 CNN Model -- 2.2 Cross-validation with Few Samples -- 2.3 The Amber Zone -- 3 Conclusion and Future Work -- References -- Vessel Segmentation and Stenosis Quantification from Coronary X-Ray Angiograms -- 1 Introduction -- 2 Methodology 2.1 Data Acquisition -- 2.2 Vessel Segmentation and Edge Detection -- 2.3 Quantitative Coronary Arteriography -- 3 Results -- 3.1 Contour Detection -- 3.2 Stenosis Quantification -- 4 Conclusions -- References -- Improved Brain Tumor Segmentation and Diagnosis Using an SVM-Based Classifier -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Results and Discussions -- 5 Conclusion and Future Scope -- References -- 3D-Reconstruction and Semantic Segmentation of Cystoscopic Images -- 1 Introduction -- 2 3D Reconstruction -- 2.1 Endoscope Calibration -- 2.2 Structure-from-Motion 2.3 Current Work and Results -- 3 Deep Learning -- 3.1 Feed-Forward Neural Networks -- 3.2 RaVeNNA 4pi: Semantic Segmentation -- 4 Conclusion and Outlook -- References -- A Biomedical Survey on Osteoporosis Classification Techniques -- 1 Introduction -- 1.1 Motivation -- 2 Related Works -- 3 Medical Assessment of Osteoporosis -- 3.1 Background -- 4 Classification of Osteoporosis Diagnosis Techniques -- 4.1 Radiographic Techniques -- 4.2 Biochemistry Bio-Markers Classification -- 4.3 Invasive Techniques -- 4.4 Osteoporosis Biosensors Classification -- 5 Bone Turnover Markers (BTMs) 5.1 Advantages of Using BTMs -- 5.2 Disadvantage of Using BTMs -- 6 Proposed Simulations and Experimental Results -- 6.1 Bone Stress Properties in Osteoporosis -- 7 Conclusion and Future Works -- References -- Segment Medical Image Using U-Net Combining Recurrent Residuals and Attention -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning -- 2.2 Medical Segmentation Based on Deep Learning -- 2.3 Segmentation Research Based on U-Net -- 3 Method -- 3.1 U-Net Module -- 3.2 Recurrent Residuals Module -- 3.3 Attention Units -- 4 Experiment -- 4.1 Implementation Details -- 4.2 Evaluation Metric Summary This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation Notes International conference proceedings 4.3 Result Includes author index Print version record Subject Diagnostic imaging -- Data processing -- Congresses Diagnosis -- Data processing -- Congresses Imaging systems & technology. Image processing. Pattern recognition. Radiology. Biomedical engineering. Technology & Engineering -- Electronics -- General. Computers -- Computer Graphics. Computers -- Computer Vision & Pattern Recognition. Medical -- Diagnostic Imaging. Technology & Engineering -- Biomedical. Diagnosis -- Data processing Diagnostic imaging -- Data processing Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Su, Ruidan Liu, Han ISBN 9789811551994 9811551995

Other Titles MICAD 2020

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