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| Link zu diesem Datensatz | https://d-nb.info/1372275126 |
| Art des Inhalts | Konferenzschrift |
| Titel | Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXVIII / edited by De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen |
| Person(en) |
Huang, De-Shuang (Herausgeber) Chen, Wei (Herausgeber) Pan, Yijie (Herausgeber) Chen, Haiming (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, XXI, 511 p. 181 illus., 169 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9500-35-2 Printed edition:: ISBN: 978-981-9500-37-6 |
| Inhalt | -- Machine Learning. -- Identifying spatial domains by fusing spatial transcriptomics and histological images through contrastive learning. -- A Medical Image Segmentation Network Based on Adaptive Feature Attention and Multi-scale Feature Extraction. -- A Preliminary Exploration of Children Autism Spectrum Disorder Detection Based on Environmental Variables. -- A Novel Approach for Drug-Drug Interaction Prediction: Utilizing Enhanced Graph Convolutional Networks and 3D Chemical Structures. -- BMC-Net: A Framework for IDH Genotyping of Gliomas Based on Bi directional Mamba Sequences. -- Integrating Radiomics and Deep Learning for Enhanced Three-Dimensional Meningioma Grading. -- SeqAlignXGBoost: Sequence Alignment and Feature Selection for m1A Modification Site Identification. -- Leveraging Large Language Models for Early Diagnosis of Inherited Metabolic Diseases Evaluation and Optimization. -- HAP-MT: Alternating Perturbation Strategies Across Data and Feature Levels in semi-supervised medical image segmentation. -- MTSN: A Multi-granularity Temporal Sleep Network for Sleep Apnea Detection. -- Fre-CrossFormer: Utilizing Frequency Domain Cross Attention for Accurate Noninvasive Blood Pressure Measurement. -- A Latent Diffusion Model for Molecular Optimization. -- BAGP: A Biomedical Entity-Relation Joint Extraction Model Integrating Adversarial Training with Biaffine Attention. -- A Contrastive Learning Framework for Alzheimer's Disease Classification (CLFAD). -- Intelligent Computing in Computer Vision. -- ABANet: Adaptive Boundary Aggregation Network for Medical Image Segmentation. -- SC3L-Net: Semi-supervised Retinal Layer Segmentation via Cross-task Consistency and Contrastive Learning. -- Interactive Calibration Learning and Atrous Pyramid Spatial-Channel Attention for Semi-supervised Medical Image Segmentation. -- MVCA-UNet: A Multi-scale Visual Convolutional Attention Architecture for Skin Lesion Segmentation. -- MSFM-UNet: Multi-Scan and Frequency Domain Mamba UNet for Medical Image Segmentation. -- APG-UNet: A Lightweight and Efficient Network for Medical Image Segmentation. -- DAMF-UNet: The Dual Attention Multi-Scale Information Fusion Network for Medical Image Segmentation. -- Multi-rater Medical Image Segmentation via a Mixture-of-experts Training. -- BIRF-SDG: Band Importance Aware Random Frequency Filter Based Single-source Domain Generalization for Retinal Vessel Segmentation. -- Genap: Generalizing Across the Augmentation Gap in Medical Image Segmentation Using Single-Source Domain. -- BEA-UNet: Boundary-enhanced Dual Attention UNet for Medical Image Segmentation. -- FreqSAM2-UNet: Adapter Fine-tuning Frequency-Aware Network of SAM2 for Universal Medical Segmentation. -- LDMWSeg: Latent Diffusion Models for Weakly Supervised Medical Image Segmentation. -- FSISNet: Exploring Mamba and Transformer for Polyp Segmentation. -- Mamba Based Feature Extraction and Adaptive Multilevel Feature Fusion for 3D Tumor Segmentation from Multi-modal Medical Image. -- Diakd: A Source-Free Domain Adaptation Method for Medical Image Segmentation Based on Domain-Aware Indicator and Adaptive Knowledge Distillation. -- KD-MedSAM: Lightweight Knowledge Distillation of Segment Anything Model for Multi-modality Medical Image Segmentation. -- Uncertainty-guided Feature Learning Network for Accurate Medical Image Segmentation. -- Transformer-Based Multi-label Protein Subcellular Localization Prediction. -- Gaze-and-Machine Dual-driven Attention Fusion Network for Medical Image Classification. -- Enhanced FCM for Medical Image Segmentation Using Superpixel and Convolutional Autoencoder. -- ARB-ABD: Robust Medical Image Segmentation with Adversarial and Boundary Enhancement. -- Attentional feature fusion for pulmonary X-ray image classification. -- Co-Training with Soft-Hard Pseudo-Labels for Semi-Supervised Liver Tumor Segmentation. -- Multimodal Integration Based on Weak Alignment for Rectal Tumor Grading. -- A Unified Framework for Few-Shot Medical Image Classification via Multi Agent Description Generation and Refined Contrastive Learning. -- WCG-Net: A Multi-Frequency Perception Network for Medical Image Segmentation. -- TransEdge: Leveraging Transformer and EfficientKAN with Edge Sensitivity for Advanced Medical Image Segmentation |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2507240409235.645408883077 DOI: 10.1007/978-981-95-0036-9 |
| URL | https://doi.org/10.1007/978-981-95-0036-9 |
| ISBN/Einband/Preis | 978-981-95-0036-9 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Bioinformatics ; 15869 |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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