LEADER 07315nam 22006495 450 001 996668465203316 005 20250723130322.0 010 $a981-9500-36-2 024 7 $a10.1007/978-981-95-0036-9 035 $a(CKB)39766994900041 035 $a(DE-He213)978-981-95-0036-9 035 $a(MiAaPQ)EBC32269965 035 $a(Au-PeEL)EBL32269965 035 $a(EXLCZ)9939766994900041 100 $a20250723d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Intelligent Computing Technology and Applications $e21st International Conference, ICIC 2025, Ningbo, China, July 26?29, 2025, Proceedings, Part XXVIII /$fedited by De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XXI, 511 p. 181 illus., 169 illus. in color.) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v15869 311 08$a981-9500-35-4 327 $a -- 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. 330 $aThe 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 1206 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology. . 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v15869 606 $aComputational intelligence 606 $aComputer networks 606 $aMachine learning 606 $aApplication software 606 $aComputational Intelligence 606 $aComputer Communication Networks 606 $aMachine Learning 606 $aComputer and Information Systems Applications 615 0$aComputational intelligence. 615 0$aComputer networks. 615 0$aMachine learning. 615 0$aApplication software. 615 14$aComputational Intelligence. 615 24$aComputer Communication Networks. 615 24$aMachine Learning. 615 24$aComputer and Information Systems Applications. 676 $a006.3 702 $aHuang$b De-Shuang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Wei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPan$b Yijie$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Haiming$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996668465203316 996 $aAdvanced Intelligent Computing Technology and Applications$94410353 997 $aUNISA