AIMC Topic: Deep Learning

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Single Molecule Localization Super-resolution Dataset for Deep Learning with Paired Low-resolution Images.

Scientific data Apr 23, 2025
Deep learning super-resolution microscopy has advanced rapidly in recent years. Super-resolution images acquired by single molecule localization microscopy (SMLM) are ideal sources for high-quality datasets. However, the scarcity of public datasets l...
Endoplasmic Reticulum Microscopy, Fluorescence Deep Learning Single Molecule Imaging Image Processing, Computer-Assisted
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DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions.

BMC biology Apr 23, 2025
BACKGROUND: Numerous studies have shown that circRNA can act as a miRNA sponge, competitively binding to miRNAs, thereby regulating gene expression and disease progression. Due to the high cost and time-consuming nature of traditional wet lab experim...
Humans Deep Learning Algorithms Computational Biology MicroRNAs RNA, Circular
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Improved Pine Wood Nematode Disease Diagnosis System Based on Deep Learning.

Plant disease Apr 23, 2025
Pine wilt disease caused by the pine wood nematode, , has profound implications for global forestry ecology. Conventional PCR methods need long operating time and are complicated to perform. The need for rapid and effective detection methodologies to...
Animals Pinus Tylenchida Plant Diseases Nematoda Deep Learning
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FADE: Forecasting for anomaly detection on ECG.

Computer methods and programs in biomedicine Apr 22, 2025
BACKGROUND AND OBJECTIVE: Cardiovascular diseases, a leading cause of noncommunicable disease-related deaths, require early and accurate detection to improve patient outcomes. Taking advantage of advances in machine learning and deep learning, multip...
Humans Machine Learning Algorithms Deep Learning Electrocardiography Signal Processing, Computer-Assisted Forecasting Cardiovascular Diseases
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Using deep learning for estimation of time-since-injury in pediatric accidental fractures.

Pediatric radiology Apr 22, 2025
BACKGROUND: Estimating time-since-injury of healing fractures is imprecise, encompassing excessively wide timeframes. Most injured children are evaluated at non-children's hospitals, yet pediatric radiologists can disagree with up to one in six skele...
Humans Retrospective Studies Infant Radiographic Image Interpretation, Computer-Assisted Deep Learning Sensitivity and Specificity Accidental Injuries Male Child Child, Preschool Female Fractures, Bone Infant, Newborn
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Deep learning for automated segmentation of brain edema in meningioma after radiosurgery.

BMC medical imaging Apr 22, 2025
BACKGROUND: Although gamma Knife radiosurgery (GKRS) is commonly used to treat benign brain tumors, such as meningioma, irradiating the surrounding brain tissue can lead to perifocal edema within a few months after the procedure. Volumetric assessmen...
Meningeal Neoplasms Radiosurgery Meningioma Magnetic Resonance Imaging Brain Edema Humans Female Male Middle Aged Deep Learning Aged Adult
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Deep learning-aided segmentation combined with finite element analysis reveals a more natural biomechanic of dinosaur fossil.

Scientific reports Apr 22, 2025
Finite element analysis (FEA), a biomechanical simulation technique capable of providing direct mechanical visualization for CT-based digital models, has been extensively applied to fossil image datasets to address key evolutionary questions in paleo...
Fossils Dinosaurs Animals Tomography, X-Ray Computed Finite Element Analysis Femur Deep Learning Biomechanical Phenomena Paleontology
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Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures.

Scientific reports Apr 22, 2025
Global food security depends on tomato growing, but several fungal, bacterial, and viral illnesses seriously reduce productivity and quality, therefore causing major financial losses. Reducing these impacts depends on early, exact diagnosis of diseas...
Solanum lycopersicum Plant Diseases Deep Learning Plant Leaves
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Efficient human activity recognition on edge devices using DeepConv LSTM architectures.

Scientific reports Apr 22, 2025
Driven by the rapid development of the Internet of Things (IoT), deploying deep learning models on resource-constrained hardware has become an increasingly critical challenge, which has propelled the emergence of TinyML as a viable solution. This stu...
Internet of Things Human Activities Neural Networks, Computer Deep Learning Humans
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Deep learning based adaptive and automatic measurement of palpebral margin in eyelid morphology.

Scientific reports Apr 22, 2025
Accurate anatomical measurements of the eyelids are essential in periorbital plastic surgery for both disease treatment and procedural planning. Recent researches in eye diseases have adopted deep learning works to measure MRD. However, such works en...
Humans Algorithms Eyelids Deep Learning Image Processing, Computer-Assisted
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