AIMC Journal:
Scientific reports
Showing 951 to 960 of 5361 articles
Interpretable deep learning of single-cell and epigenetic data reveals novel molecular insights in aging.
Scientific reports
Feb 11, 2025
Deep learning (DL) and explainable artificial intelligence (XAI) have emerged as powerful machine-learning tools to identify complex predictive data patterns in a spatial or temporal domain. Here, we consider the application of DL and XAI to large om...
A promising AI based super resolution image reconstruction technique for early diagnosis of skin cancer.
Scientific reports
Feb 11, 2025
Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiation. Among all other types, melanoma is a notable severe kind of skin cancer, which can be fatal. Melanoma is a malignant skin cancer arising from melan...
MedFuseNet: fusing local and global deep feature representations with hybrid attention mechanisms for medical image segmentation.
Scientific reports
Feb 11, 2025
Medical image segmentation plays a crucial role in addressing emerging healthcare challenges. Although several impressive deep learning architectures based on convolutional neural networks (CNNs) and Transformers have recently demonstrated remarkable...
Deliod a lightweight detection model for intestinal organoids based on deep learning.
Scientific reports
Feb 11, 2025
Intestinal organoids are indispensable tools for exploring intestinal disorders. Deep learning methodologies are often employed in morphological analysis to evaluate the condition of these organoids. Nonetheless, prevailing analytical techniques face...
A robust deep learning framework for multiclass skin cancer classification.
Scientific reports
Feb 10, 2025
Skin cancer represents a significant global health concern, where early and precise diagnosis plays a pivotal role in improving treatment efficacy and patient survival rates. Nonetheless, the inherent visual similarities between benign and malignant ...
Self-supervision advances morphological profiling by unlocking powerful image representations.
Scientific reports
Feb 10, 2025
Cell Painting is an image-based assay that offers valuable insights into drug mechanisms of action and off-target effects. However, traditional feature extraction tools such as CellProfiler are computationally intensive and require frequent parameter...
Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences.
Scientific reports
Feb 10, 2025
Local recurrences (LR) can occur within residual breast tissue, chest wall, skin, or newly formed scar tissue. Artificial intelligence (AI) technologies can extract a wide range of tumor features from large datasets helping in oncological decision-ma...
Machine learning prediction of glaucoma by heavy metal exposure: results from the National Health and Nutrition Examination Survey 2005 to 2008.
Scientific reports
Feb 10, 2025
Using follow-up data from the National Health and Nutrition Examination Survey (NHANES) database, we have collected information on 2572 subjects and used generalized linear model to investigate the association between urinary heavy metal levels and g...
Contrast-enhanced magnetic resonance imaging based calf muscle perfusion and machine learning in peripheral artery disease.
Scientific reports
Feb 10, 2025
Peripheral artery disease (PAD) remains underdiagnosed and undertreated and is associated with an increased risk for adverse cardiovascular outcomes. Imaging provides an approach to identifying patients with PAD. However, the role of integrating imag...
Biopsychosocial based machine learning models predict patient improvement after total knee arthroplasty.
Scientific reports
Feb 10, 2025
Total knee arthroplasty (TKA) is an effective treatment for end stage osteoarthritis. However, biopsychosocial features are not routinely considered in TKA clinical decision-making, despite increasing evidence to support their role in patient recover...
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