AIMC Topic: Deep Learning

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Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study.

BMC medical imaging Feb 5, 2025
BACKGROUND: Long-term severe cholangitis can lead to dense adhesions and increased fragility of the bile duct, complicating surgical procedures and elevating operative risk in children with pancreaticobiliary maljunction (PBM). Consequently, preopera...
Pancreaticobiliary Maljunction Nomograms Chronic Disease Cholangitis Child, Preschool Child Male Infant Deep Learning Adolescent Severity of Illness Index Tomography, X-Ray Computed Female Humans Radiomics Retrospective Studies
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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities.

Scientific reports Feb 5, 2025
Disabled persons demanding healthcare is a developing global occurrence. The support in longer-term care includes nursing, intricate medical, recovery, and social help services. The price is large, but advanced technologies can aid in decreasing expe...
Smartphone Internet of Things Wearable Electronic Devices Persons with Disabilities Humans Algorithms Deep Learning Artificial Intelligence
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Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection.

Scientific reports Feb 5, 2025
Employing two standard mammography views is crucial for radiologists, providing comprehensive insights for reliable clinical evaluations. This study introduces paired mammogram view based-network(PMVnet), a novel algorithm designed to enhance breast ...
Humans Breast Neoplasms Deep Learning Mammography Algorithms Female Radiographic Image Interpretation, Computer-Assisted
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Breast cancer classification based on hybrid CNN with LSTM model.

Scientific reports Feb 5, 2025
Breast cancer (BC) is a global problem, largely due to a shortage of knowledge and early detection. The speed-up process of detection and classification is crucial for effective cancer treatment. Medical image analysis methods and computer-aided diag...
Breast Neoplasms Neural Networks, Computer Diagnosis, Computer-Assisted Algorithms Mammography Deep Learning Female Humans
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Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis.

Journal of medical Internet research Feb 5, 2025
BACKGROUND: Alzheimer disease (AD) is a progressive condition characterized by cognitive decline and memory loss. Vision transformers (ViTs) are emerging as promising deep learning models in medical imaging, with potential applications in the detecti...
Alzheimer Disease Positron-Emission Tomography Neuroimaging Humans Deep Learning Magnetic Resonance Imaging
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Syn2Real: synthesis of CT image ring artifacts for deep learning-based correction.

Physics in medicine and biology Feb 5, 2025
. We strive to overcome the challenges posed by ring artifacts in x-ray computed tomography (CT) by developing a novel approach for generating training data for deep learning-based methods. Training such networks require large, high quality, datasets...
Deep Learning Image Processing, Computer-Assisted Artifacts Humans Tomography, X-Ray Computed
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Cost-efficient training of hyperspectral deep learning models for the detection of contaminating grains in bulk oats by fluorescent tagging.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 4, 2025
Computer vision based on instance segmentation deep learning models offers great potential for automating many visual inspection tasks, such as the detection of contaminating grains in bulk oats, a nutrient rich grain which is well-tolerated by peopl...
Avena Fluorescent Dyes Deep Learning Edible Grain Food Contamination Hyperspectral Imaging
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GTIGNet: Global Topology Interaction Graphormer Network for 3D hand pose estimation.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2025
Estimating 3D hand poses from monocular RGB images presents a series of challenges, including complex hand structures, self-occlusions, and depth ambiguities. Existing methods often fall short of capturing the long-distance dependencies of skeletal a...
Humans Hand Neural Networks, Computer Deep Learning Imaging, Three-Dimensional
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Pyramid contrastive learning for clustering.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2025
With its ability of joint representation learning and clustering via deep neural networks, the deep clustering have gained significant attention in recent years. Despite the considerable progress, most of the previous deep clustering methods still su...
Neural Networks, Computer Deep Learning Cluster Analysis Image Processing, Computer-Assisted Humans
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Emotional stimulated speech-based assisted early diagnosis of depressive disorders using personality-enhanced deep learning.

Journal of affective disorders Feb 4, 2025
BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression is promising, but insufficient data and lack of theoretical support make it difficult to be applied. Therefore, it is valuable to combine psychiatric...
Speech Personality Algorithms Emotions Adolescent Middle Aged Female Early Diagnosis Young Adult Adult Humans Depressive Disorder, Major Male Deep Learning
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