Simulation and Synthesis in Medical Imaging
Springer International Publishing (Verlag)
978-3-030-87591-6 (ISBN)
The 14 full papers presented were carefully reviewed and selected from 18 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/ microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement, or segmentation.
*The workshop was held virtually.
Method-Oriented Papers.- Detail matters: high-frequency content for realistic synthetic brain MRI generation.- Joint Image and Label Self-Super-Resolution.- Super-resolution by Latent Space Exploration: Training with Poorly-aligned Clinical and Micro CT Image Dataset.- A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms.- Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images.- Learning-based Template Synthesis For Groupwise Image Registration.- The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties.- Transfer Learning in Optical Microscopy.- X-ray synthesis based on triangular mesh models using GPU-accelerated ray tracing for multi-modal breast image registration.- Application-Oriented Papers.- Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks.- SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus Image .- Cerebral Blood Volume Prediction based on Multi-modality Magnetic Resonance Imaging.- Cine-MRI simulation to evaluate tumor tracking.- GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models.
| Erscheinungsdatum | 23.09.2021 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | X, 154 p. 58 illus., 47 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 261 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Bioinformatik | |
| Schlagworte | Applications • Artificial Intelligence • Bioinformatics • color image processing • color images • Computer Science • computer vision • conference proceedings • Digital image • Image Analysis • image coding • image enhancement • image matching • Image Processing • Image Quality • image reconstruction • Image Segmentation • Imaging Systems • Informatics • machine learning • Medical Images • pattern recognition • reference image • Research |
| ISBN-10 | 3-030-87591-1 / 3030875911 |
| ISBN-13 | 978-3-030-87591-6 / 9783030875916 |
| Zustand | Neuware |
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