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Lightweight Lung-nodule Detection Model Combined with Multidimensional Attention Convolution.
Curr Med Imaging
January 2025
School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
Background: Early and timely detection of pulmonary nodules and initiation treatment can substantially improve the survival rate of lung carcinoma. However, current detection methods based on convolutional neural networks (CNNs) cannot easily detect pulmonary nodules owing to low detection accuracy and the difficulty in detecting small-sized pulmonary nodules; meanwhile, more accurate CNN-based models are slow and require high hardware specifications.
Objective: The aim of this study is to develop a detection model that achieves both high accuracy and real-time performance, ensuring effective and timely results.
3D-Printing of Freestanding Pure MXene Microarchitectures.
Small
January 2025
Smart 3D Printing Research Team, Korea Electrotechnology Research Institute (KERI), Changwon-si, Gyeongsangnam-do, 51543, Republic of Korea.
Since their discovery, titanium-based MXenes (TiCT) have attracted significant attention. Several studies have presented versatile, cost-effective, and scalable approaches for fabricating TiCT-based functional components. However, most previous studies only allowed the realization of 2D patterns or required diverse additives to produce 3D architectures.
View Article and Find Full Text PDFBeta-band oscillations and spike-local field potential synchronization in the motor cortex are correlated with movement deficits in an exercise-induced fatigue mouse model.
Cogn Neurodyn
December 2025
Exercise Physiology and Neurobiology Lab, College of Physical Education and Sports, Beijing Normal University, No. 19, Xinjiekou Street, Beijing, 100875 China.
Fatigue, a complex and multifaceted symptom, profoundly influences quality of life, particularly among individuals suffering from chronic medical conditions or neurological disorders. This symptom not only exacerbates existing conditions but also hinders daily functioning, thereby perpetuating a vicious cycle of worsening symptoms and reduced physical activity. Given the pivotal role of the motor cortex (M1) in coordinating and executing voluntary movements, understanding how the cortex regulates fatigue is crucial.
View Article and Find Full Text PDFA deep learning-based multi-view approach to automatic 3D landmarking and deformity assessment of lower limb.
Sci Rep
January 2025
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Anatomical Landmark detection in CT-Scan images is widely used in the identification of skeletal disorders. However, the traditional process of manually detecting anatomical landmarks, especially in three dimensions, is both time-consuming and prone to human errors. We propose a novel, deep-learning-based approach to automatic detection of 3D landmarks in CT images of the lower limb.
View Article and Find Full Text PDFSmall target detection in UAV view based on improved YOLOv8 algorithm.
Sci Rep
January 2025
School of Electronic Information Engineering, Lang Fang Normal University, Langfang, 065000, Hebei, China.
Article Synopsis
- The main challenges of detecting targets with UAVs include small image sizes, dense distributions of targets, and uneven category representation, along with hardware constraints affecting model complexity and accuracy.
- A new small target detection method using an improved YOLOv8 algorithm is introduced, enhancing feature fusion with a bi-directional feature pyramid network (BiFPN), and replacing the C2f module with a C3Ghost module to lower computational demands.
- Additional enhancements like a channel attention mechanism and an improved MPDIoU loss function boost the model's ability to learn from difficult samples, yielding significant improvements in mean accuracy, precision, and recall on the VisDrone dataset.
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