AIMC Topic: Deep Learning

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LiDSCUNet++: A lightweight depth separable convolutional UNet++ for vertebral column segmentation and spondylosis detection.

Research in veterinary science May 31, 2025
Accurate computer-aided diagnosis systems rely on precise segmentation of the vertebral column to assist physicians in diagnosing various disorders. However, segmenting spinal disks and bones becomes challenging in the presence of abnormalities and c...
Deep Learning Image Processing, Computer-Assisted Radiography Neural Networks, Computer Animals Diagnosis, Computer-Assisted Dog Diseases Spondylosis Spine Dogs
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Estimating motor symptom presence and severity in Parkinson's disease from wrist accelerometer time series using ROCKET and InceptionTime.

Scientific reports May 31, 2025
Parkinson's disease (PD) is a neurodegenerative condition characterized by frequently changing motor symptoms, necessitating continuous symptom monitoring for more targeted treatment. Classical time series classification and deep learning techniques ...
Accelerometry Female Humans Hypokinesia Aged Middle Aged Male Tremor Wearable Electronic Devices Severity of Illness Index Parkinson Disease Deep Learning Wrist
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Deep learning reconstruction for T2-weighted and contrast-enhanced T1-weighted magnetic resonance enterography imaging in patients with Crohn's disease: Assessment of image quality and clinical utility.

Clinical imaging May 30, 2025
PURPOSE: To investigate the image quality of deep learning-reconstructed T2-weighted half-Fourier single-shot turbo spin echo (DL T2 HASTE) and contrast-enhanced T1-weighted volumetric interpolated breath-hold examination (DL T1 VIBE) of magnetic res...
Crohn Disease Image Interpretation, Computer-Assisted Contrast Media Magnetic Resonance Imaging Young Adult Middle Aged Adult Humans Female Deep Learning Male Retrospective Studies Reproducibility of Results Adolescent Aged
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Prediction of Ligand-Receptor Interactions Based on CatBoost and Deep Forest and Their Application in Cell-Cell Communication Analysis.

Journal of chemical information and modeling May 30, 2025
Cell-to-cell communication (CCC) is prominent for cell growth and development as well as tissue and organ formation. CCC inference can help us to deeply understand cellular interplay and discover potential therapeutic targets for complex diseases. Ce...
Cell Communication Ligands Boosting Machine Learning Algorithms Humans Deep Learning Computational Biology
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Assessing the performance of domain-specific models for plant leaf disease classification: a comprehensive benchmark of transfer-learning on open datasets.

Scientific reports May 30, 2025
Agriculture and its yields are indispensable to human life all over the planet. It is an essential part of many countries' economies and without it the world's population can not be fed. As such, guaranteeing harvest with minimal loss is a primary ob...
Neural Networks, Computer Plant Diseases Deep Learning Plant Leaves Crops, Agricultural
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Upper limb human-exoskeleton system motion state classification based on semg: application of CNN-BiLSTM-attention model.

Scientific reports May 30, 2025
This study aims to classify five typical motion states of the human upper limb based on surface electromyography signals, thereby supporting the real-time control system of an assistive upper limb exoskeleton. We propose a deep learning model combini...
Deep Learning Muscle, Skeletal Electromyography Motion Movement Young Adult Humans Upper Extremity Algorithms Exoskeleton Device Adult Neural Networks, Computer Female Male
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Pixel super-resolved virtual staining of label-free tissue using diffusion models.

Nature communications May 30, 2025
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based pixel super-resolution virtual staini...
Staining and Labeling Microscopy, Fluorescence Diffusion Lung Humans Deep Learning Reproducibility of Results Image Processing, Computer-Assisted
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Enhancing the dataset of CycleGAN-M and YOLOv8s-KEF for identifying apple leaf diseases.

PloS one May 30, 2025
Accurate diagnosis of apple diseases is vital for tree health, yield improvement, and minimizing economic losses. This study introduces a deep learning-based model to tackle issues like limited datasets, small sample sizes, and low recognition accura...
Plant Diseases Malus Algorithms Deep Learning Plant Leaves
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Prediction of drug-target interactions based on substructure subsequences and cross-public attention mechanism.

PloS one May 30, 2025
Drug-target interactions (DTIs) play a critical role in drug discovery and repurposing. Deep learning-based methods for predicting drug-target interactions are more efficient than wet-lab experiments. The extraction of original and substructural feat...
Deep Learning Proteins Drug Repositioning Pharmaceutical Preparations Data Mining Humans Algorithms Drug Discovery
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EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm.

PloS one May 30, 2025
Outlier detection is essential for identifying unusual patterns or observations that significantly deviate from the normal behavior of a dataset. With the rapid growth of data science, the prevalence of anomalies and outliers has increased, which can...
Deep Learning Cluster Analysis Clustering Algorithms Machine Learning Algorithms Humans
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