Advancing Liver Segmentation with Deep Learning
Advancing Liver Segmentation with Deep Learning Accurate segmentation of liver structures in CT images is crucial for various medical applications, including disease diagnosis and treatment planning. Leveraging deep learning techniques, particularly 3DResUNet architecture and DenseCRF post-processing, offers promising avenues for achieving high-quality liver segmentation. However, challenges
Continue Reading
Enhancing Electricity Demand Forecasting
Enhancing Electricity Demand Forecasting with Time Series Analysis As societies increasingly rely on electricity as a primary energy source, the need for accurate electricity demand forecasting has become paramount. Forecasting future levels of electricity usage is essential for utilities and businesses to efficiently manage resources, anticipate
Continue Reading
Air Quality Prediction Using Machine Learning
Air Quality Prediction Using Machine Learning Air pollution is a global issue with significant impacts on public health and the environment. Accurate prediction of air quality levels is essential for mitigating these effects and implementing effective pollution control measures. In response to this challenge, a machine
Continue Reading