In the AI field, new models are being constantly released and every other week, a new AI image model comes out on top. So in this article, we have compiled a list of the best AI image generators which ...

Radiomics aims to develop image-based biomarkers by combining quantitative analysis of medical images with artificial intelligence (AI) through a robust, reproducible pipeline. Scientific societies, ...

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

This request was rejected before here (#1523) because preprocessing the image is not useful for OCR accuracy anymore. I agree with this. However preprocessing can still be beneficial for image ...

Abstract: This study discusses image preprocessing, defect detection algorithm and system design and implementation, emphasizes the importance of preprocessing steps such as denoising, enhancement, ...

Deep learning project comparing CNN and MobileNetV2 for image classification on a small, imbalanced dataset. Covers preprocessing, augmentation, training, evaluation, and performance analysis. Tools: ...

Abstract: Data preprocessing is a crucial phase in the data science and machine learning pipeline, often demanding significant time and expertise. This step is vital for enhancing data quality by ...