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| Link zu diesem Datensatz | https://d-nb.info/1367211980 |
| Art des Inhalts | Konferenzschrift |
| Titel | Computer Vision – ECCV 2024 Workshops : Milan, Italy, September 29–October 4, 2024, Proceedings, Part XVI / edited by Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi |
| Person(en) |
Del Bue, Alessio (Herausgeber) Canton, Cristian (Herausgeber) Pont-Tuset, Jordi (Herausgeber) Tommasi, Tatiana (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, LV, 352 p. 123 illus., 116 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-91720-2 Printed edition:: ISBN: 978-3-031-91722-6 |
| Inhalt | -- Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation. -- Advancing Medical Radiograph Representation Learning: A Hybrid Pretraining Paradigm with Multilevel Semantic Granularity. -- Can virtual staining for high-throughput screening generalize?. -- SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images. -- A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification. -- Boosting Medical Image Registration Network Inherently via Collaborative Learning. -- Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT. -- CHOTA: A Higher Order Accuracy Metric for Cell Tracking. -- Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification. -- Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images. -- BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans. -- Affinity-VAE: incorporating prior knowledge in representation learning from scientific images. -- Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models. -- Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis. -- SS-MIL: Attention-Based Selective Correlated Multiple Instance Learning for Whole Slide Image Classification. -- MicroSSIM: Improved Structured Similarity for Comparing Microscopy Data. -- Generalized Segmentation for Maxillary Sinus and Mandibular Canal in Dental Panoramic X-rays. -- MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation. -- NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful. -- Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics. -- A Novel Approach to Linking Histology Images with DNA Methylation |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2505300407502.527338445578 DOI: 10.1007/978-3-031-91721-9 |
| URL | https://doi.org/10.1007/978-3-031-91721-9 |
| ISBN/Einband/Preis | 978-3-031-91721-9 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15638 |
| DDC-Notation | 006.37 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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