Publications by authors named "Mingtao Ye"
Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by inflammation and pain in the joints, which can lead to joint damage and disability over time. Nanotechnology in RA treatment involves using nano-scale materials to improve drug delivery efficiency, specifically targeting inflamed tissues and minimizing side effects. The study aims to develop and optimize a new class of eco-friendly and highly effective layered nanomaterials for targeted drug delivery in the treatment of RA.
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- The study focuses on creating a CT image segmentation method for adrenal tumors using a combination of an encoder-decoder structure and a Transformer to improve diagnostic accuracy.
- A total of 182 patients with adrenal metastases were analyzed, with various metrics (like Dice Score and Hausdorff distance) used to assess the effectiveness of the segmentation method.
- Results indicated that the proposed method achieved high segmentation performance, demonstrating better accuracy compared to existing CNN-based and transformer-based approaches, and effectively generated 3D lesion maps.
Article Synopsis
- * Due to factors like the heel effect and varying X-ray tube voltages, air kerma levels can differ within the X-ray beam's field of view.
- * An intelligent method using a radial basis function neural network was developed to predict air kerma distribution from limited measurements, validated through Monte Carlo simulations at various tube voltages (40-140 kV).
Around the world, the COVID-19 pandemic has created significant obstacles for education, driving people to discover workarounds to maintain education. Because of the excellent benefit of cheap-cost information distribution brought about by the advent of the Internet, some offline instructional activity started to go online in an effort to stop the spread of the disease. How to guarantee the quality of teaching and promote the steady progress of education has become more and more important.
View Article and Find Full Text PDFLearning analysis provides a new opportunity for the development of online education, and has received extensive attention from scholars at home and abroad. How to use data and models to predict learners' academic success or failure and give teaching feedback in a timely manner is a core problem in the field of learning analytics. At present, many scholars use key learning behaviors to improve the prediction effect by exploring the implicit relationship between learning behavior data and grades.
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