Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of MRI images through deep learning is important for early treatment and ...

Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended superimposition—showing both the transmitted scene and the undesired reflected scene. While ...

Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific ...

Ophthalmology pioneered the clinical use of artificial intelligence (AI). Beyond automating routine tasks, including retinal disease screening via fundus photography and optical coherence tomography ...