(Ebook PDF) Proceedings of 2021 International Conference on Medical Imaging and Computer Aided Diagnosis (MICAD 2021) Medical Imaging and Computer Aided Diagnosis 1st edition by Ruidan Su, Yu Dong Zhang, Han Liu 9811638802 9789811638800 full chapters

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) Medical Imaging and Computer-Aided Diagnosis 1st edition by Ruidan Su, Yu-Dong Zhang, Han Liu – Ebook PDF Instant Download/DeliveryISBN:  9811638802, 9789811638800 

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ISBN-10 ‏ : ‎9811638802 

ISBN-13 ‏ : ‎9789811638800

Author :  Ruidan Su, Yu-Dong Zhang, Han Liu 

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. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. 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. 

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) Medical Imaging and Computer-Aided Diagnosis 1st Table of contents:

1. A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation
2. Three-Dimensional Image Reconstruction of Murine Heart Using Image Processing
3. Identifying Melanoma in Lesion Images Using Cycle-Consistent Adversarial Networks-Based Data Augmentation
4. Ensembling Learning for Automated Detection of Diabetic Retinopathy
5. A Fully Automated End-to-End Process for Fluorescence Microscopy Images of Yeast Cells: From Segmentation to Detection and Classification
6. Glioblastoma Multiforme Patient Survival Prediction
7. Virtual Reality Application for Laparoscope in Clinical Surgery Based on Siamese Network and Census Transformation
8. Analyzing CT Scan Images Using Deep Transfer Learning for Patients with Covid-19 Disease
9. Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Networks
10. Color-Based Fusion of MRI Modalities for Brain Tumor Segmentation
11. Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images
12. Modulated Rotating Orthogonal Polarization Parametric Imaging, A Preliminary Study
13. Evaluating Mobile Tele-radiology Performance for the Task of Analyzing Lung Lesions on CT Images
14. Learning Transferable Features for Diagnosis of Breast Cancer from Histopathological Images
15. Improving Topology Consistency of Retinal Vessel Segmentation via a Double U-Net with Asymmetric Convolution
16. The CT Liver Image Segmentation Based on RTV and GMM
17. Automated Gland Detection in Colorectal Histopathological Images
18. Ultrasonic Image Segmentation Algorithm of Thyroid Nodules Based on DPCNN
19. Computer-Aided Detection/Diagnosis
20. Information Technologies in Complex Reconstructive Maxillofacial Surgery
21. Machine Learning-Based Imaging in Connected Vehicles Environment
22. Preliminary Considerations on the Design of Multi-layered Bone Scaffold for Laser-Based Printing
23. Two-Stage Convolutional Neural Network for Knee Osteoarthritis Diagnosis in X-Rays
24. The Art-of-Hyper-Parameter Optimization with Desirable Feature Selection
25. Data Augmentation for Breast Cancer Mass Segmentation
26. Dual-Attention Network for Acute Pancreatitis Lesion Detection with CT Images
27. Measurement of Q Factor from Two Dimensional Images of Osteoarthritic Knee Braces
28. Machine Learning and Deep Learning
29. 2Be3-Net: Combining 2D and 3D Convolutional Neural Networks for 3D PET Scans Predictions
30. Covid-19 Chest CT Scan Image Classification Using LCKSVD and Frozen Sparse Coding
31. A Hybrid Deep Model for Brain Tumor Classification
32. A Systematic Literature Review of Machine Learning Applications for Community-Acquired Pneumonia
33. Photograph to X-ray Image Translation for Anatomical Mouse Mapping in Preclinical Nuclear Molecular Imaging
34. Active Strain-Statistical Models for Reconstructing Multidimensional Images of Lung Tissue Lesions
35. A New Content-Based Image Retrieval System for SARS-CoV-2 Computer-Aided Diagnosis
36. Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images
37. Deep YOLO-Based Detection of Breast Cancer Mitotic-Cells in Histopathological Images

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