Artificial intelligence (AI)

3 Questions: How AI image generators work To address the scarcity of labeled image-mask pairs in semantic segmentation, several strategies have been devised, including data augmentation and semi-supervised learning approaches. Data augmentation techniques (13, 14, 15, 16) create synthetic pairs of images and masks, which are then utilized as supplementary training data. A significant limitation of …

Segmentation of ovarian cyst in ultrasound images using AdaResU-net with optimization algorithm and deep learning model PMC Read More »

The AI Image Generator: The Limits of the Algorithm and Human Biases Computers can predict patterns, look at trends, figure out accuracy, and make processes run more smoothly with the help of AI and machine learning algorithms. Adversarial images can cause massive failures in neural networks, as algorithms struggle to properly classify such noise-filled images. …

Understanding Image Recognition: Algorithms, Machine Learning, and Uses Read More »