AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
This study benchmarks colonoscopy image reconstruction. We introduce a Latent Bank method to improve standard encoders, but High-Fidelity GAN Inversion achieves superior quality (FID = 22.12, MS-SSIM > 0.91), proving the best for colonoscopy images.
Label-free brightfield microscopy is widely used to monitor organ-on-chip (OOC) cultures, but manual quality assessment can be subjective, labor-intensive, and difficult to standardize across biological conditions. Using a public dataset of 3072 microscopy images from six cell lines, we systematically evaluated four qu...
Abstract We adapted two explainability methods commonly used in image classification, KernelSHAP and Grad-CAM, to colonoscopy video classification.We evaluated their plausibility by measuring how well their approximation of EndoFMLV’s visual focus for polyp class predictions aligned with the visible polyp region. Both...
Background While multiple imaging modalities have been developed for the evaluation of biliary and pancreatic ducts, none is considered ideal. Dual-layer Spectral Computed Tomography (DSCT) offers potential advantages through dual-energy acquisition and spectral imaging, but its application for biliopancreatic ducts re...
Colorectal cancer (CRC) remains one of the main cancer-related causes of death worldwide, and colonoscopy is an effective method for early identification of CRC and substantially reducing the risk. Colonoscopy images are often affected by non-uniform illumination and low-light conditions, which make it difficult to vis...
[This corrects the article DOI: 10.3389/fmed.2026.1797846.].
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