A retinal photograph lands on an ophthalmologist’s screen. The colors are right, the optic disc looks textured and organic, ...

. ├── app.py # Flask backend API ├── predict.py # ML inference pipeline ├── preprocess.py # Image preprocessing ├── train_defect_model.py # CNN training (optional) ├── train_cost_model.py # ...

Add Yahoo as a preferred source to see more of our stories on Google. A Chinese military research team has released what it calls the world's first open-access dataset combining visible light and ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.

Congenital heart defects (CHDs) are among the most common birth defects, affecting nearly 1 in 100 babies born in the U.S. Yet despite advances in prenatal imaging, CHD remains one of the most ...

Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy and ...

Abstract: Artificial images for defect detection have gained growing importance in the recently developed defect detection architectures. This systematic literature review examines the use of ...

Abstract: Pavement defect detection aims to accurately identify various surface defects and their unpredictable patterns while providing precise measurements, significantly enhancing road maintenance ...

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection" The author submitted the paper to Journal of Intelligent ...