AIMC Journal:
Scientific reports
Showing 1471 to 1480 of 5369 articles
Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model.
Scientific reports
Nov 11, 2024
Cancer is a life-threatening disease resulting from a genetic disorder and a range of metabolic anomalies. In particular, lung and colon cancer (LCC) are among the major causes of death and disease in humans. The histopathological diagnoses are criti...
A deep learning-based method for assessing tricuspid regurgitation using continuous wave Doppler spectra.
Scientific reports
Nov 11, 2024
Transthoracic echocardiography (TTE) is widely recognized as one of the principal modalities for diagnosing tricuspid regurgitation (TR). The diagnostic procedures associated with conventional methods are intricate and labor-intensive, with human err...
Analyzing immune cell infiltrates in skeletal muscle of infantile-onset Pompe disease using bioinformatics and machine learning.
Scientific reports
Nov 11, 2024
Pompe disease, a severe lysosomal storage disorder, is marked by heart problems, muscle weakness, and respiratory difficulties. This study aimed to identify novel markers for infantile-onset Pompe disease by analyzing key genes and immune cells infil...
Large language models can outperform humans in social situational judgments.
Scientific reports
Nov 10, 2024
Large language models (LLM) have been a catalyst for the public interest in artificial intelligence (AI). These technologies perform some knowledge-based tasks better and faster than human beings. However, whether AIs can correctly assess social situ...
A deep learning model of dorsal and ventral visual streams for DVSD.
Scientific reports
Nov 10, 2024
Artificial intelligence (AI) methods attempt to simulate the behavior and the neural activity of the brain. In particular, Convolutional Neural Networks (CNNs) offer state-of-the-art models of the ventral visual stream. Furthermore, no proposed model...
Hyperspectral imaging and deep learning for parasite detection in white fish under industrial conditions.
Scientific reports
Nov 9, 2024
Parasites in fish muscle present a significant problem for the seafood industry in terms of both quality and health and safety, but the low contrast between parasites and fish tissue makes them exceedingly difficult to detect. The traditional method ...
Fusing global context with multiscale context for enhanced breast cancer classification.
Scientific reports
Nov 9, 2024
Breast cancer is the second most common type of cancer among women. Prompt detection of breast cancer can impede its advancement to more advanced phases, thereby elevating the probability of favorable treatment consequences. Histopathological images ...
Advancing mango leaf variant identification with a robust multi-layer perceptron model.
Scientific reports
Nov 9, 2024
Mango, often regarded as the "king of fruits," holds a significant position in Bangladesh's agricultural landscape due to its popularity among the general population. However, identifying different types of mangoes, especially from mango leaves, pose...
An open codebase for enhancing transparency in deep learning-based breast cancer diagnosis utilizing CBIS-DDSM data.
Scientific reports
Nov 9, 2024
Accessible mammography datasets and innovative machine learning techniques are at the forefront of computer-aided breast cancer diagnosis. However, the opacity surrounding private datasets and the unclear methodology behind the selection of subset im...
QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals.
Scientific reports
Nov 9, 2024
The most cost-effective data collection method is electroencephalography (EEG), which obtains meaningful information about the brain. Therefore, EEG signal processing is crucial for neuroscience and machine learning (ML). Therefore, a new EEG stress ...
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