Proceedings of International Conference on Image, Vision and Intelligent Systems 2025

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Inhaltsangabe

FundusMorph: A Segmentation-Free Registration Framework for Deformable Multi-Modal Fundus Image Registration.- Research on the architecture of the generative artificial intelligence model in the power network security scenario.- A street-to-aerial image dataset with eye-tracking for cross-view matching.- Surface defect detection of hot rolled steel based on Dual-stripe Window Pyramid Network.-SGAGS: Semantic-Guided Adaptive 3D Gaussian Splatting.- Reconstruction Based Multimodal Sentiment Analysis with Uncertain Missing Modalities.- Adaptive Few-Shot Learning for Entity Relation Extraction.- An image-based human body reconstruction method based on improved PIFUHD.- E-MRNet: An Edge-Morphological Refinement Network with Multi-Scale Feature Enhancement for Medical Pathology Image Segmentation.- Deep Learning Approach for Shrimp Weight Estimation.- Tobacco Leaf Pest and Disease Detection Algorithm based on Improved YOLOv10n.- LA-PUNet:A Lightweight and Adaptive Framework for Efficient PointCloud Upsampling with Geometric Consistency.- Improvement of cervical cancer tissue pathology images classification and training method based on Few-Shot Learning.- StrokeNet: Multi-Path 3D-2D CNN Architecture for CT-based Stroke Detection.- The Application Value of Large Language Models in ACR TI-RADS Grading Evaluation of Thyroid Nodules.- A U-net Architecture with Kolmogorov-Arnold Networks and Hybrid Pooling Attention for Medical Image Segmentation.

Produktdetails
  • Erscheinungsdatum: 11.02.2026
  • Autor/Autorin: Peng You
  • Reihe: Lecture Notes in Electrical Engineering
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 96.7 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 629 Seiten
  • ISBN: 9789819562527
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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