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EEG Signals Classification Related to Visual Objects Using Long Short-Term Memory Network and Nonlinear Interval Type-2 Fuzzy Regression.
Brain Topogr
January 2025
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
By gaining insights into how brain activity is encoded and decoded, we enhance our understanding of brain function. This study introduces a method for classifying EEG signals related to visual objects, employing a combination of an LSTM network and nonlinear interval type-2 fuzzy regression (NIT2FR). Here, ResNet is utilized for feature extraction from images, the LSTM network for feature extraction from EEG signals, and NIT2FR for mapping image features to EEG signal features.
View Article and Find Full Text PDFExplainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models.
Sci Rep
January 2025
ADAPT Research Centre, School of Computer Science, University of Galway, Galway, Ireland.
This study utilizes the Breast Ultrasound Image (BUSI) dataset to present a deep learning technique for breast tumor segmentation based on a modified UNet architecture. To improve segmentation accuracy, the model integrates attention mechanisms, such as the Convolutional Block Attention Module (CBAM) and Non-Local Attention, with advanced encoder architectures, including ResNet, DenseNet, and EfficientNet. These attention mechanisms enable the model to focus more effectively on relevant tumor areas, resulting in significant performance improvements.
View Article and Find Full Text PDFEnsemble genetic and CNN model-based image classification by enhancing hyperparameter tuning.
Sci Rep
January 2025
Information and Communication Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Model optimization is a problem of great concern and challenge for developing an image classification model. In image classification, selecting the appropriate hyperparameters can substantially boost the model's ability to learn intricate patterns and features from complex image data. Hyperparameter optimization helps to prevent overfitting by finding the right balance between complexity and generalization of a model.
View Article and Find Full Text PDFSingle-Double-Single Barrel (1-2-1) Fibula Free Flap Design for Functional and Esthetic Brown Class III Mandibular Reconstruction.
Plast Reconstr Surg
January 2025
Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong.
This novel hybrid single-double-single barrel (1-2-1) design for fibula free flap reconstruction addresses the unique challenges presented by Brown Class III mandibular defects, which involve long-span defects at both bodies of the mandible and the chin. The importance of this design lies in its ability to overcome the limitations of traditional approaches in terms of mandible height and pedicle length, while optimizing both functional and esthetic outcomes.The technique utilizes a combination of single-double-single barrel fibula segments to achieve ideal esthetics and support for dental prosthesis across different areas of the mandible.
View Article and Find Full Text PDFGender and Education Influences on Dietary Supplement Awareness in Poland: A Nationally Representative Survey.
Med Sci Monit
January 2025
School of Public Health, Centre of Postgraduate Medical Education of Warsaw, Warsaw, Poland.
BACKGROUND Dietary supplements (DS) are increasingly popular worldwide, with 78% of Polish adults reporting their use, and nearly half using them regularly. The wide availability, selection, and affordability contribute to this prevalence. However, misinformation and potential health risks from incorrect usage highlight the importance of health literacy in making informed choices about DS.
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