AIMC Topic: Deep Learning

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Neurocounter - A deep learning framework for high-fidelity spatial localization of neurons.

Journal of neuroscience methods Jun 1, 2025
BACKGROUND: Many neuroscientific applications require robust and accurate localization of neurons. It is still an unsolved problem because of the enormous variation in intensity, texture, spatial overlap, morphology, and background artifacts. In addi...
Brain Animals Deep Learning Image Processing, Computer-Assisted Neurons
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Accuracy of a deep neural network for automated pulmonary embolism detection on dedicated CT pulmonary angiograms.

European journal of radiology Jun 1, 2025
PURPOSE: To assess the performance of a Deep Neural Network (DNN)-based prototype algorithm for automated PE detection on CTPA scans.
Computed Tomography Angiography Pulmonary Artery Deep Learning Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Aged Retrospective Studies Sensitivity and Specificity Humans Aged, 80 and over Female Male Adult Reproducibility of Results Middle Aged Neural Networks, Computer Algorithms
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Continual Learning by Contrastive Learning of Regularized Classes in Multivariate Gaussian Distributions.

International journal of neural systems Jun 1, 2025
Deep neural networks struggle with incremental updates due to catastrophic forgetting, where newly acquired knowledge interferes with the learned previously. Continual learning (CL) methods aim to overcome this limitation by effectively updating the ...
Humans Neural Networks, Computer Learning Deep Learning Normal Distribution
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Fusion of multi-scale feature extraction and adaptive multi-channel graph neural network for 12-lead ECG classification.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: The 12-lead electrocardiography (ECG) is a widely used diagnostic method in clinical practice for cardiovascular diseases. The potential correlation between interlead signals is an important reference for clinical diagnosis ...
Signal Processing, Computer-Assisted Graph Neural Networks Humans Deep Learning ROC Curve Neural Networks, Computer Electrocardiography Algorithms Cardiovascular Diseases
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Self-supervised multi-modality learning for multi-label skin lesion classification.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical modalities. Dermoscopic images provide detailed views of surface structures, while clinical images offer complementary macroscopic information. Clini...
Supervised Machine Learning Image Interpretation, Computer-Assisted Melanoma Skin Neoplasms Humans Dermoscopy Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Algorithms Cluster Analysis
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Multi-class brain malignant tumor diagnosis in magnetic resonance imaging using convolutional neural networks.

Brain research bulletin Jun 1, 2025
Glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) are common malignant brain tumors with similar radiological features, while the accurate and non-invasive dialgnosis is essential for selecting appropriate...
Lymphoma Magnetic Resonance Imaging Glioblastoma Adult Brain Neoplasms Male Middle Aged Deep Learning Convolutional Neural Networks Neural Networks, Computer Female Aged Humans
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Developing the Artificial Intelligence Method and System for "Multiple Diseases Holistic Differentiation" in Traditional Chinese Medicine and Its Interpretability to Clinical Decision.

Journal of evidence-based medicine Jun 1, 2025
AIM: The development of artificial intelligence (AI) for traditional Chinese medicine (TCM) has played an important role in clinical decision-making, mainly reflected in the intersectionality and variability of symptoms, syndromes, and patterns for T...
Artificial Intelligence Clinical Decision-Making Deep Learning Humans Medicine, Chinese Traditional Diagnosis, Differential
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Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning Model.

Academic radiology Jun 1, 2025
RATIONALE AND OBJECTIVES: Routine knee MRI protocols for 1.5 T and 3 T scanners, do not include T2*-w gradient echo (T2*W) images, which are useful in several clinical scenarios such as the assessment of cartilage, synovial blooming (deposition of he...
Signal-To-Noise Ratio Deep Learning Adolescent Child Magnetic Resonance Imaging Knee Joint Image Interpretation, Computer-Assisted Female Adult Male Humans
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Predicting 5-Year EDSS in Multiple Sclerosis with LSTM Networks: A Deep Learning Approach to Disease Progression.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jun 1, 2025
BACKROUNDS: Multiple Sclerosis (MS) is a neurodegerative disease that is common worldwide, has no definitive cure yet, and negatively affects the individual's quality of life due to disease-related disability. Predicting disability in MS is difficult...
Female Adult Male Humans Neural Networks, Computer Cohort Studies Disability Evaluation Multiple Sclerosis Middle Aged Disease Progression Deep Learning
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Combating Medical Label Noise through more precise partition-correction and progressive hard-enhanced learning.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Computer-aided diagnosis systems based on deep neural networks heavily rely on datasets with high-quality labels. However, manual annotation for lesion diagnosis relies on image features, often requiring professional experie...
Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Signal-To-Noise Ratio Neural Networks, Computer Machine Learning Humans Algorithms
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