AIMC Topic: Deep Learning

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Multi-site validation of an interpretable model to analyze breast masses.

PloS one Jun 26, 2025
An external validation of IAIA-BL-a deep-learning based, inherently interpretable breast lesion malignancy prediction model-was performed on two patient populations: 207 women ages 31 to 96, (425 mammograms) from iCAD, and 58 women (104 mammograms) f...
Breast Deep Learning Mammography Aged Aged, 80 and over Breast Neoplasms Middle Aged Adult Humans Female
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Multi-parameter MRI deep learning model for lymphovascular invasion assessment in invasive breast ductal carcinoma: A multicenter, retrospective study.

Clinical radiology Jun 25, 2025
AIMS: To investigate the value of multi-parametric magnetic resonance imaging (MRI)-based deep learning (DL) in predicting the Lymphovascular Invasion (LVI) status of invasive breast ductal cancer (IBDC).
Humans Retrospective Studies Adult Breast Neoplasms Middle Aged Female Aged Carcinoma, Ductal, Breast Magnetic Resonance Imaging Deep Learning Neoplasm Invasiveness Lymphatic Metastasis Breast
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Improved swin transformer-based thorax disease classification with optimal feature selection using chest X-ray.

PloS one Jun 25, 2025
Thoracic diseases, including pneumonia, tuberculosis, lung cancer, and others, pose significant health risks and require timely and accurate diagnosis to ensure proper treatment. Thus, in this research, a model for thorax disease classification using...
Algorithms Radiography, Thoracic Humans Deep Learning Thoracic Diseases Radiographic Image Interpretation, Computer-Assisted
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rbpTransformer: A novel deep learning model for prediction of piRNA and mRNA bindings.

PloS one Jun 25, 2025
An important issue in biotechnology is predicting whether a piRNA and an mRNA will or will not bind. Research and treatment of diseases, drug discovery, and the silencing and regulation of genes, transposons, and genomic stability may all benefit fro...
RNA, Small Interfering Piwi-Interacting RNA Humans Computational Biology RNA, Messenger Algorithms Deep Learning
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A deep learning based approach for classifying the maturity of cashew apples.

PloS one Jun 25, 2025
Over 95% of cashew apples are left to waste and rot on the ground. However, both cashew nuts and the often overlooked cashew apples possess significant nutritional and economic value. The cashew apple constitutes the major part (90%) of the cashew fr...
Deep Learning Humans Anacardium Fruit Nuts
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Construction of VAE-GRU-XGBoost intrusion detection model for network security.

PloS one Jun 25, 2025
With the advent of the big data era, the threat of network security is becoming increasingly severe. In order to cope with complex network attacks and ensure network security, a network intrusion detection model is constructed relying on deep learnin...
Humans Models, Theoretical Computer Communication Networks Computer Security Boosting Machine Learning Algorithms Algorithms Deep Learning
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PoseNet++: A multi-scale and optimized feature extraction network for high-precision human pose estimation.

PloS one Jun 25, 2025
Human pose estimation (HPE) has made significant progress with deep learning; however, it still faces challenges in handling occlusions, complex poses, and complex multi-person scenarios. To address these issues, we propose PoseNet++, a novel approac...
Image Processing, Computer-Assisted Posture Humans Neural Networks, Computer Algorithms Deep Learning
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FeaCL: Carotid plaque classification from ultrasound images using feature-level and instance-level contrast learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 24, 2025
The classification of carotid plaques from ultrasound images in clinical application is crucial for predicting patient risks of cardiovascular and cerebrovascular diseases, as well as for developing appropriate treatment strategies. Although the effe...
Carotid Stenosis Carotid Arteries Plaque, Atherosclerotic Humans Deep Learning Ultrasonography Image Interpretation, Computer-Assisted
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MFDF-UNet: Multiscale feature depth-enhanced fusion network for colony adhesion image segmentation.

Journal of microbiological methods Jun 24, 2025
Colony counting plays a crucial role in evaluating food quality and safety. The segmentation of colony adhesion images can significantly enhance the accuracy of food safety assessments. To achieve high-precision segmentation of colony adhesion images...
Algorithms Deep Learning Bacterial Adhesion Food Safety Fractals Image Processing, Computer-Assisted Food Microbiology
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Performance of deep-learning models incorporating knee alignment information for predicting ground reaction force during walking.

Biomedical engineering online Jun 24, 2025
BACKGROUND: Wearable sensors combined with deep-learning models are increasingly being used to predict biomechanical variables. Researchers have focused on either simple neural networks or complex pretrained models with multiple layers. In addition, ...
Knee Female Biomechanical Phenomena Walking Deep Learning Humans Male Adult Mechanical Phenomena Neural Networks, Computer
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