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

• Record Nr.: UNISA996668465203316
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• ISBN: 981-9500-36-2
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (XXI, 511 p. 181 illus., 169 illus. in color.)
• Collana: Lecture Notes in Bioinformatics, , 2366-6331 ; ; 15869
• Disciplina: 006.3
• Soggetti: Computational intelligence; Computer networks; Machine learning; Application software; Computational Intelligence; Computer Communication Networks; Machine Learning; Computer and Information Systems Applications
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- 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.
• Sommario/riassunto: The 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 1206 papers presented in these ; proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology. .