A5082003361- AI in cancer detection
- Infrared Thermography in Medicine
- Drilling and Well Engineering
- Advanced Technologies in Various Fields
- Brain Tumor Detection and Classification
- Advanced Image Fusion Techniques
- Hydrocarbon exploration and reservoir analysis
- Hydraulic Fracturing and Reservoir Analysis
- Radiomics and Machine Learning in Medical Imaging
University of York
2024
China University of Mining and Technology
2023
China University of Petroleum, East China
2021
Breast cancer is one of the main factors responsible for deaths women worldwide. Ultrasound imaging a key method early detection breast cancer, which can help pa- tients gain valuable treatment time and improve their chances survival. The computer-aided system recognition has started to receive attention due lack experienced sonographers. Presently, most methods typically suffer from uncertain locations proportions tumor regions in ultrasound images. In this paper, we propose novel Regional...
Deep learning algorithms have demonstrated remarkable efficacy in the medical imaging field, particularly when it comes to segmentation and classification of brain tumors. This algorithm is being trained tested using MRI tumor dataset provided by Kaggle. ResNet50 used for tasks due its powerful feature extraction capability. Through deep residual structure, can effectively extract different lesion features improve accuracy. At same time, ResUNet combines capabilities ResNet with advantages...
Due to the defects of traditional education and teaching evaluation methods, such as incomplete data collection, weak analytical ability, lack attention individual needs educated, it is very necessary design an system based on multi-dimensional artificial intelligence, which can obtain more from all aspects according established criteria. With comprehensive reasonable processing we get accurate teaching, so promote high-quality development education.
Summary Fracture aperture is an important parameter to evaluate the quality of fracture controlled tight clastic reservoir. The well logs were always used predict aperture, but some linear regression methods do not match with complex logging data due characteristics low porosity and permeability in machine learning method can improve prediction accuracy, it generates unstable models. A static committee (CM) reduce errors uncertainties by combining multiple learners, weight integrating...