A5103239323- Radiomics and Machine Learning in Medical Imaging
- Digital Imaging for Blood Diseases
- AI in cancer detection
Shanghai Jiao Tong University
2024
King's College London
2021
(1) Purpose: To improve the capability of EfficientNet, including developing a cropping method called Random Center Cropping (RCC) to retain original image resolution and significant features on images’ center area, reducing downsampling scale EfficientNet facilitate small images RPCam datasets, integrating attention Feature Fusion (FF) mechanisms with obtain containing rich semantic information. (2) Methods: We adopt Convolutional Neural Network (CNN) detect classify lymph node metastasis...
<bold>Objective:</bold> By analyzing census databases, we aimed to understand the correlation between depression and other psychological physiological diseases. Further, expanded our research with physiology, lifestyle habits, aspects. At same time, attempted use artificial intelligence methods predict risk of depression, obtain relevant models, derive depression. <bold>Methods:</bold> Data from databases were used in this research. Traditional data analysis for basic quantitative analysis,...