Medical Optical Imaging and Virtual Microscopy Image Analysis First International Workshop MOVI 2022 Held in Conjunction with MICCAI 2022 Proceedings Yuankai Huo – Ebook Instant Download/Delivery ISBN(s): 9783031169601,3031169603
Product details:
• ISBN 10: 3031169603
• ISBN 13: 9783031169601
• Author:
Table Contents:
- Cover
- Front Matter
- Cell Counting with Inverse Distance Kernel and Self-supervised Learning
- Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer
- Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation
- Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning
- MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging
- A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology
- Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation
- Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models
- Profiling DNA Damage in 3D Histology Samples
- Few-Shot Segmentation of Microscopy Images Using Gaussian Process
- Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
- Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data
- Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels
- Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images
- A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation
- A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images
- Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images
- Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images
- Back Matter
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