In this research, we used deep learning (DL) methods initially on patient's 1190 CT scan images from the Kaggle IQ-OTH lung cancer dataset, and after significant image preprocessing steps we found ...

We aim to develop and evaluate CT-based model using deep learning features to preoperatively ... insufficient stomach distension; (c) poor image quality for post-processing due to artifacts. The ...

We developed and validated a convolutional neural network (CNN)-based biological brain age prediction ... based on the brain image signal. We then evaluated the model’s performance using two external ...

Deep learning techniques enable ... excel in sequential data processing, combining them with attention mechanisms has proven effective in image recognition tasks that involve sequence prediction, such ...

A bundle of Open eVision Deep Learning ... processing speeds up to 10 ms per image, with robust support for 3D point cloud processing and surface analysis. Matrox Imaging offers Design Assistant and ...