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| Link zu diesem Datensatz | https://d-nb.info/1347219056 |
| Art des Inhalts | Konferenzschrift |
| Titel | Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part XIV / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Person(en) |
Lin, Zhouchen (Herausgeber) Cheng, Ming-Ming (Herausgeber) He, Ran (Herausgeber) Ubul, Kurban (Herausgeber) Silamu, Wushouer (Herausgeber) Zha, Hongbin (Herausgeber) Zhou, Jie (Herausgeber) Liu, Cheng-Lin (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XIV, 573 p. 186 illus., 169 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9784-95-0 Printed edition:: ISBN: 978-981-9784-97-4 |
| Inhalt | A Fine-grained Recurrent Network for Image Segmentation via Vector Field Guided Refinement -- Semi-supervised Medical Image Segmentation with Strong/Weak Task-aware Consistency -- Steerable Pyramid Transform Enables Robust Left Ventricle Quantification -- Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation -- MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation -- Enhancing Hippocampus Segmentation: Swin -- UNETR Model Optimization with CPS -- Uncertainty-inspired Credible Pseudo-Labeling in Semi-Supervised Medical Image Segmentation -- MFPNet: Mixed Feature Perception Network for Automated Skin Lesion Segmentation -- LD-BSAM:Combined Latent Diffusion with Bounding SAM for HIFU target region segmentation -- Hierarchical Decoder with Parallel Transformer and CNN for Medical Image Segmentation. -CLASS-AWARE CROSS PSEUDO SUPERVISION FRAMEWORK FOR SEMI-SUPERVISED MULTI-ORGAN SEGMENTATION IN ABDOMINAL CT -- SCANSAPAN: Anti-curriculum Pseudo-labelling and Adversarial Noises Training for Semi-supervised Medical Image Classification -- Multi-Modal Learning for Predicting the Progression of Transarterial Chemoembolization Therapy in Hepatocellular Carcinoma -- Growing with the help of multiple teachers: lightweight and noise-resistant student model for medical image classification -- DRA-CN: A novel Dual-Resolution Attention Capsule Network for Histopathology Image Classification -- A Mask Guided Network for Self-Supervised Low-Dose CT ImagingDental Diagnosis from X-Ray Panoramic Radiography Images: A Dataset and A Hybrid Framework -- Edge-Guided Bidirectional-Attention Residual Network for Polyp SegmentationFrom Coarse to Fine: A Novel Colon Polyp Segmentation Method Like Human Observation -- Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification -- Multi-Perspective Text-Guided Multimodal Fusion Network for Brain Tumor Segmentation -- Continual Learning for Fundus Image Segmentation -- Embedded Deep Learning Based CT Images for Rifampicin Resistant Tuberculosis Diagnosis -- Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation -- Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Segmentation -- Swin-HAUnet: A Swin-Hierarchical Attention Unet For Enhanced Medical Image Segmentation -- ODC-SA Net: Orthogonal Direction Enhancement and Scale Aware Network for Polyp Segmentation -- Two-Stage Multi-Scale Feature Fusion for Small Medical Object Segmentation -- A Two-Stage Automatic Collateral Scoring Framework Based on Brain Vessel Segmentation -- SPARK: Cross-Guided Knowledge Distillation with Spatial Position Augmentation for Medical Image Segmentation -- VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation -- DTIL-Net: Dual-Task Interactive Learning Network for Automated Grading of Diabetic Retinopathy and Macular Edema -- DeformSegNet: Segmentation Network Fused with Deformation Field for Pancreatic CT Scans -- InsSegLN: A Novel 3D Instance Segmentation Method for Mediastinal Lymph NodeRRANet: A Reverse Region-Aware Network with Edge Difference for Accurate Breast Tumor Segmentation in Ultrasound ImagesLearning Frequency and Structure in UDA for Medical Object Detection -- Skin Lesion Segmentation Method Based On Global Pixel Weighted Focal Loss -- Competing Dual-Network with Pseudo-Supervision Rectification for Semi-Supervised Medical Image Segmentation -- Dual-Branch Perturbation and Conflict-Based Scribble-Supervised Meibomian Gland Segmentation |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2411050319322.723761641258 DOI: 10.1007/978-981-97-8496-7 |
| URL | https://doi.org/10.1007/978-981-97-8496-7 |
| ISBN/Einband/Preis | 978-981-97-8496-7 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15044 |
| DDC-Notation | 006.37 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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