Artificial intelligence (AI)-based automated classification and segmentation of optical
coherence tomography (OCT) features have become increasingly popular. However, its 3 …

Fundus digital photography and optical coherence tomography (OCT) are currently the
primary imaging approaches for early diagnosis and treatment of eye diseases. In recent …

Underwater image enhancement is an important low-level computer vision task for
autonomous underwater vehicles and remotely operated vehicles to explore and …

In this paper, we discuss the initial attempts at boosting understanding human language
based on deep-learning models with quantum computing. We successfully train a quantum …

The legal landscape encompasses a wide array of lawsuit types, presenting lawyers with
challenges in delivering timely and accurate information to clients, particularly concerning …

Automatic machine learning-based (ML-based) medical report generation systems for retinal
images suffer from a relative lack of interpretability. Hence, such ML-based systems are still …

Evaluating the quality of automatically generated image descriptions is challenging,
requiring metrics that capture various aspects such as grammaticality, coverage …

When video collections become huge, how to explore both within and across videos
efficiently is challenging. Video summarization is one of the ways to tackle this issue …

In this work, we propose an AI-based method that intends to improve the conventional retinal
disease treatment procedure and help ophthalmologists increase diagnosis efficiency and …

Traditional video summarization methods generate fixed video representations regardless of
user interest. Therefore such methods limit users' expectations in content search and …