| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Medical optical imaging and virtual microscopy image analysis/ edited by Yuankai Huo ... [et al.]. |
| Reminder of title: |
second International Workshop, MOVI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings / |
| remainder title: |
MOVI 2024 |
| other author: |
Huo, Yuankai. |
| corporate name: |
MOVI (Workshop) |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xi, 220 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
Medical Optical Imaging and Virtual Microscopy Image Analysis: A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN -- From Feature Maps to Few-Shot Cell Segmentation -- Deep Learning for Classifying Anti-Shigella Opsono-phagocytosis-promoting Monoclonal Antibodies -- Multi-target Stain Normalization for Histology Slides -- Intensity Inhomogeneity Correction for Large Panoramic Electron Microscopy Images -- Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging -- Lymphoid Infiltration Assessment of the Tumor Margins in H&E Slides -- TRP-Net: Transformer with RMM and PPM for High-efficiency Circulating Abnormal Cells Detection in Multichannel Fluorescence Imaging -- Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals -- Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution -- CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data -- Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging -- MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network -- Structured Model Pruning for Efficient Inference in Computational Pathology -- Histopathology Image Embedding based on Foundation Models Features Aggregation for DLBCL Patient Treatment Response Prediction -- EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders. Kidney Pathology Image segmentation (KPIs) Challenge: AC-UNet: A Self-Adaptive Cropping Approach for Kidney Pathology Image Segmentation -- SAM-Glomeruli: Enhanced Segment Anything Model for Precise Glomeruli Segmentation -- A Robust Deep Learning Method for WSI-level Diseased Glomeruli Segmentation -- Ensembled SegNeXt Based Glomeruli Segmentation -- Glomeruli Segmentation in Whole-Slide Images: Is Better Local Performance Always Better. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Diagnostic imaging - Congresses. - Data processing - |
| Online resource: |
https://doi.org/10.1007/978-3-031-77786-8 |
| ISBN: |
9783031777868 |