AIMC Journal:
Scientific reports

Showing 961 to 970 of 5361 articles

Identifying invasiveness to aid lung adenocarcinoma diagnosis using deep learning and pathomics.

Scientific reports Feb 10, 2025
Most classification efforts for primary subtypes of lung adenocarcinoma (LUAD) have not yet been integrated into clinical practice. This study explores the feasibility of combining deep learning and pathomics to identify tumor invasiveness in LUAD pa...
Adenocarcinoma of Lung Middle Aged Deep Learning ROC Curve Humans Female Retrospective Studies Aged Lung Neoplasms Male Neoplasm Invasiveness Area Under Curve
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Concrete crack detection using ridgelet neural network optimized by advanced human evolutionary optimization.

Scientific reports Feb 10, 2025
Concrete frameworks require strong structural integrity to ensure their durability and performance. However, they are disposed to develop cracks, which can compromise their overall quality. This research presents an innovative crack diagnosis algorit...
Neural Networks, Computer Humans Algorithms Construction Materials
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Comparative performance of multiple ensemble learning models for preoperative prediction of tumor deposits in rectal cancer based on MR imaging.

Scientific reports Feb 10, 2025
Ensemble learning can effectively mitigate the risk of model overfitting during training. This study aims to evaluate the performance of ensemble learning models in predicting tumor deposits in rectal cancer (RC) and identify the optimal model for pr...
Female Magnetic Resonance Imaging Aged Humans Rectal Neoplasms Adult Male Ensemble Learning Machine Learning Middle Aged ROC Curve
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An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis.

Scientific reports Feb 9, 2025
Coronary heart disease (CHD) is the world's leading cause of death, contributing to a high mortality rate. This emphasizes the requirement for an advanced decision support system in order to evaluate the risk of CHD. This study presents an Artificial...
Coronary Disease Middle Aged Risk Assessment Female Humans Risk Factors Neural Networks, Computer Male Algorithms
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Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model.

Scientific reports Feb 9, 2025
Skin cancer is a prevalent health concern, and accurate segmentation of skin lesions is crucial for early diagnosis. Existing methods for skin lesion segmentation often face trade-offs between efficiency and feature extraction capabilities. This pape...
Skin Neoplasms Humans Skin Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted
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Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP.

Scientific reports Feb 9, 2025
To accelerate the clinical adoption of quantitative magnetic resonance imaging (qMRI), frameworks are needed that not only allow for rapid acquisition, but also flexibility, cost efficiency, and high accuracy in parameter mapping. In this study, feed...
Cost-Benefit Analysis Signal-To-Noise Ratio Monte Carlo Method Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Computer Simulation Humans Neural Networks, Computer
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An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks.

Scientific reports Feb 9, 2025
Mammography is the recommended imaging modality for breast cancer screening. Expressions of human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), and progesterone receptor (PR) are critical to the development of therapeutic strateg...
Middle Aged Deep Learning Convolutional Neural Networks Adult Breast Neoplasms Biomarkers, Tumor Receptors, Estrogen Receptors, Progesterone ROC Curve Mammography Receptor, ErbB-2 Humans Neural Networks, Computer Female
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Severe deviation in protein fold prediction by advanced AI: a case study.

Scientific reports Feb 8, 2025
Artificial intelligence (AI) and deep learning are making groundbreaking strides in protein structure prediction. AlphaFold is remarkable in this arena for its outstanding accuracy in modelling proteins fold based solely on their amino acid sequences...
Artificial Intelligence Protein Folding Proteins Models, Molecular Protein Conformation Deep Learning Computational Biology
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.

Scientific reports Feb 8, 2025
Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major cause of death. We analyzed longitudinal data with a median 19-month follow-up. BC was diagnosed with ultrasounds and MRCP. Missing data was imputed u...
Middle Aged Postoperative Complications Biliary Tract Diseases Adult Survival Rate Humans Male Female Liver Transplantation Machine Learning Risk Factors Aged
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Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation.

Scientific reports Feb 8, 2025
In this study, the solubility of rivaroxaban, a poorly water-soluble drug, was investigated in mixed solvent systems to address challenges in pharmaceutical formulation and bioavailability enhancement. Solubility optimization is essential for the eff...
Biological Availability Machine Learning Solubility Solvents Rivaroxaban
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