AIMC Topic: Deep Learning

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S2LIC: Learned image compression with the SwinV2 block, Adaptive Channel-wise and Global-inter attention Context.

Neural networks : the official journal of the International Neural Network Society May 19, 2025
Recently, deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. It is crucial to design an effective and efficient entropy model to estimate the probability distribu...
Humans Neural Networks, Computer Attention Data Compression Entropy Algorithms Deep Learning Image Processing, Computer-Assisted
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Advancements in Hematologic Malignancy Detection: A Comprehensive Survey of Methodologies and Emerging Trends.

TheScientificWorldJournal May 18, 2025
The investigation and diagnosis of hematologic malignancy using blood cell image analysis are major and emerging subjects that lie at the intersection of artificial intelligence and medical research. This survey systematically examines the state-of-t...
Deep Learning Machine Learning Hematologic Neoplasms Humans Neural Networks, Computer
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Fully automated evaluation of condylar remodeling after orthognathic surgery in skeletal class II patients using deep learning and landmarks.

Journal of dentistry May 17, 2025
OBJECTIVE: Condylar remodeling is a key prognostic indicator in maxillofacial surgery for skeletal class II patients. This study aimed to develop and validate a fully automated method leveraging landmark-guided segmentation and registration for effic...
Mandibular Condyle Algorithms Humans Orthognathic Surgical Procedures Tomography, X-Ray Computed Young Adult Mandible Bone Remodeling Male Female Adult Anatomic Landmarks Malocclusion, Angle Class II Deep Learning Adolescent
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Adaptive debiasing learning for drug repositioning.

Journal of biomedical informatics May 17, 2025
Drug repositioning, pivotal in current pharmaceutical development, aims to find new uses for existing drugs, offering an efficient and cost-effective path to drug discovery. In recent years, graph neural network-based deep learning methods have achie...
Deep Learning Drug Repositioning Humans Neural Networks, Computer Algorithms Databases, Factual Drug Discovery
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Construction and validation of a pain facial expressions dataset for critically ill children.

Scientific reports May 17, 2025
Automatic pain assessment for non-communicative children is in high demand. However, the availability of related training datasets remains limited. This study focuses on creating a large-scale dataset of pain facial expressions specifically for Chine...
Pain Measurement Pain Facial Expression Child Intensive Care Units, Pediatric Male Infant Deep Learning Adolescent Child, Preschool Humans Critical Illness Female
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ConsensuSV-ONT - A modern method for accurate structural variant calling.

Scientific reports May 17, 2025
Improvements in sequencing technology make the development of new tools for detection of structural variance more and more common. However, since the tools available for the long-read Oxford Nanopore sequencing are limited, and the selection of the o...
Algorithms Deep Learning Sequence Analysis, DNA Humans Neural Networks, Computer Software High-Throughput Nucleotide Sequencing Nanopore Sequencing
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Extensible Immunofluorescence (ExIF) accessibly generates high-plexity datasets by integrating standard 4-plex imaging data.

Nature communications May 17, 2025
Standard immunofluorescence imaging captures just ~4 molecular markers (4-plex) per cell, limiting dissection of complex biology. Inspired by multimodal omics-based data integration approaches, we propose an Extensible Immunofluorescence (ExIF) frame...
Single-Cell Analysis Humans Microscopy, Fluorescence Biomarkers Epithelial-Mesenchymal Transition Fluorescent Antibody Technique Deep Learning
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Escarcitys: A framework for enhancing medical image classification performance in scarcity of trainable samples scenarios.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
In the field of healthcare, the acquisition and annotation of medical images present significant challenges, resulting in a scarcity of trainable samples. This data limitation hinders the performance of deep learning models, creating bottlenecks in c...
Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Diagnostic Imaging
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Residual self-attention vision transformer for detecting acquired vitelliform lesions and age-related macular drusen.

Scientific reports May 16, 2025
Retinal diseases recognition is still a challenging task. Many deep learning classification methods and their modifications have been developed for medical imaging. Recently, Vision Transformers (ViT) have been applied for classification of retinal d...
Retinal Drusen Humans Vitelliform Macular Dystrophy Deep Learning Algorithms Tomography, Optical Coherence Macular Degeneration
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Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection.

Scientific reports May 16, 2025
Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in early pancreatic cancer detection and for biomarker discovery in endocrine and exocrine pancreatic diseases. We developed and evaluated a deep learning...
Humans Neural Networks, Computer Tomography, X-Ray Computed Pancreas Image Processing, Computer-Assisted Female Early Detection of Cancer Male Pancreatic Neoplasms Deep Learning
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