Thimmaraju

An Ai-Based Convolutional Auto-Encoder Framework for Low-Dose CT Image Denoising and Quality Enhancement

An AI-based convolutional auto-encoder model is presented to resolve the low dose CT image denoising and quality improvement of paired Quarter Dose CT data and Full Dose CT data, suggesting that the suggested framework is useful to reduce the low-dose CT noise and maintain the structural similarity simultaneously.