Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: cod="ro"
|
|
|
| Link zu diesem Datensatz | https://d-nb.info/1382273088 |
| Titel | Ophthalmic Medical Image Analysis : 12th International Workshop, OMIA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings / edited by Huihui Fang, Meng Wang, Heng Li, Hao Chen, Hrvoje Bogunović, Cecilia S. Lee |
| Person(en) |
Fang, Huihui (Herausgeber) Wang, Meng (Herausgeber) Li, Heng (Herausgeber) Chen, Hao (Herausgeber) Bogunovic, Hrvoje (Herausgeber) Lee, Cecilia S. (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XIII, 180 p. 61 illus., 57 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-10350-5 Printed edition:: ISBN: 978-3-032-10352-9 |
| Inhalt | -- DVIA-Net: Dual-path Video Information Aggregation Network for Anterior Chamber Angle Analysis. -- BEAM: Boosting Fundus Image Enhancement via Adapted Text-to-Image Models. -- Multimodal Fusion Framework Using Contrastive Learning for Exposure Keratopathy. -- GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT. -- Anomaly Detection in Anterior Eye Segment Using Self-Supervised Siamese Autoencoders. -- Generalized Visual Field Pattern Discovery Using Archetypal Analysis. -- Uncertainty-Aware Multimodal Fusion for Reliable Fundus Disease Classification Using a Vision-Language Foundation Model. -- RetBench: Which Ophthalmic Foundation Model Performs Best and Why?. -- On the Limits of Uncertainty-Aware Fine-Tuning for Robust Diabetic Retinopathy Screening. -- Semi-Automated Retinal Microsurgery Video Annotation with SAM2: Comparative Analysis of Prompt Strategies. -- Cross Domain Few Shot Learning for Intra-operative OCT Segmentation. -- Reasoning-Enhanced Vision-Language Model for Interpretable Diabetic Retinopathy Detection in Ultra-Wide-Field Fundus Images. -- PASO: A Multipurpose Porcine Anterior Segment Dataset Featuring Spectral and Reconstructed OCT Volume Scans and Surgical Instrument Segmentation Masks. -- abVAE: Attribute-Based Booster Variational Autoencoder for Interpretable Latent Presentation in Optical Coherence Tomography of Glaucomatous Eyes. -- Early CHD Detection from Retinal Fundus Scans using a Spatial Context-Aware Hierarchical Attention Framework. -- Dataset, Baseline and Evaluation Design for GAVE Challenge. -- UncEGA-Net: Uncertainty-Guided Edge Attention for Optic Nerve Segmentation in Ultrasound Images |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2511220312238.176509708229 DOI: 10.1007/978-3-032-10351-2 |
| URL | https://doi.org/10.1007/978-3-032-10351-2 |
| ISBN/Einband/Preis | 978-3-032-10351-2 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 16209 |
| DDC-Notation | 610.28 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |

