AIMC Topic: Algorithms

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Enhancing chronic wound assessment through agreement analysis and tissue segmentation.

Scientific reports Jul 1, 2025
Accurate monitoring of chronic wound progression is crucial for assessing healing dynamics. However, the current manual process of tissue segmentation and quantification, which is an indicator of the healing progress, is time-consuming and subject to...
Algorithms Wound Healing Humans Deep Learning Neural Networks, Computer Chronic Disease Wounds and Injuries Image Processing, Computer-Assisted
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Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images.

Scientific reports Jul 1, 2025
Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segmentation generally requires manually annotated segmentations, demanding extensive time and resources from radiologists. We propose a weakly supervised ap...
Child Image Processing, Computer-Assisted Glioma Algorithms Brain Neoplasms Humans Image Interpretation, Computer-Assisted Machine Learning Magnetic Resonance Imaging Supervised Machine Learning
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Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms.

Scientific reports Jul 1, 2025
Wheat lodging is a recurrent phenomenon that significantly affects grain yield and impedes the harvesting efficiency. Therefore, the precise and rapid assessment of wheat lodging is crucial in minimizing its impact on grain yield and quality. Recentl...
Triticum Machine Learning Algorithms India Support Vector Machine
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm.

Scientific reports Jul 1, 2025
Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and ...
Algorithms Internet of Things Humans Neural Networks, Computer
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Improving EEG based brain computer interface emotion detection with EKO ALSTM model.

Scientific reports Jul 1, 2025
Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscul...
Algorithms Brain Humans Brain-Computer Interfaces Male Signal Processing, Computer-Assisted Emotions Female Adult Electroencephalography
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Artificial intelligence derived grading of mustard gas induced corneal injury and opacity.

Scientific reports Jul 1, 2025
Artificial intelligence (AI) has emerged as a transformative tool in ophthalmology for disease diagnosis and prognosis. However, use of AI for assessing corneal damage due to chemical injury in live rabbits remains lacking. This study aimed to develo...
Corneal Opacity Mustard Gas Disease Models, Animal Rabbits Corneal Injuries Cornea Animals Humans Artificial Intelligence Algorithms Neural Networks, Computer
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An enhanced deep learning model for accurate classification of ovarian cancer from histopathological images.

Scientific reports Jul 1, 2025
Ovarian Cancer is a malignancy that develops from ovarian cells and is frequently characterized by aberrant cell proliferation that leads to the creation of tumors within the ovaries. The high death rate and often delayed discovery of Ovarian Cancer ...
Deep Learning Ovarian Neoplasms Algorithms Female Humans
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Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms.

Scientific reports Jul 1, 2025
This study aimed to identify the risk factors associated with spontaneous rupture and bleeding in hepatocellular carcinoma, establish a prediction model for spontaneous rupture bleeding via a machine learning algorithm, and validate and evaluate the ...
Humans Machine Learning Algorithms Aged Adult Male Female Risk Factors Retrospective Studies Carcinoma, Hepatocellular Hemorrhage Rupture, Spontaneous Middle Aged Liver Neoplasms
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XAI-XGBoost: an innovative explainable intrusion detection approach for securing internet of medical things systems.

Scientific reports Jul 1, 2025
The Internet of Medical Things (IoMT) has transformed healthcare delivery but faces critical challenges, including cybersecurity threats that endanger patient safety and data integrity. Intrusion Detection Systems (IDS) are essential for protecting I...
Boosting Machine Learning Algorithms Humans Algorithms Internet of Things Computer Security Delivery of Health Care
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Automatic melanoma detection using an optimized five-stream convolutional neural network.

Scientific reports Jul 1, 2025
Melanoma is among the deadliest forms of malignant skin cancer, with the number of cases increasing dramatically worldwide. Its early and accurate diagnosis is crucial for effective treatment. However, automatic melanoma detection has several signifi...
Neural Networks, Computer Algorithms Melanoma Humans Convolutional Neural Networks Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Dermoscopy Skin Neoplasms Deep Learning
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